Back
Noteable
Description
Create notebooks in Python, SQL, and Markdown to explore data, visualize, and share notebooks with everyone.
Details
https://chat.noteable.io/.well-known/ai-plugin.json
{
"schema_version": "v1",
"name_for_human": "Noteable",
"name_for_model": "noteable",
"logo_url": "https://chat.noteable.io/origami/static/images/noteable-logo.png",
"contact_email": "contact@noteable.io",
"legal_info_url": "https://noteable.io/legal/terms-and-conditions/",
"api": {
"type": "openapi",
"url": "https://chat.noteable.io/api/origami/openapi.json",
"is_user_authenticated": false
},
"auth": {
"type": "oauth",
"client_url": "https://chat.noteable.io/origami/authorize",
"scope": "offline_access openid email profile",
"authorization_url": "https://chat.noteable.io/origami/token",
"authorization_content_type": "application/json",
"verification_tokens": {
"openai": "013ab448caee4c1f8b0c2772626bd315"
}
},
"description_for_human": "Create notebooks in Python, SQL, and Markdown to explore data, visualize, and share notebooks with everyone.",
"description_for_model": "On https://app.noteable.io, create and run Jupyter notebooks with code, markdown, and SQL cells.\n\n# Semantics\n\n- Notebook URL, CellID optional: https://app.noteable.io/f/<file_id>/<decorative_file_name>?cellID=<cell_id>\n- Project URL: https://app.noteable.io/p/<project_id>/<decorative_project_name>\n- Space URL: https://app.noteable.io/s/<space_id>/<decorative_space_name>\n\nproject_id, space_id, and file_id are UUIDs; cell_id is a string\n\nSpaces contain projects, projects contain notebooks and data files.\n\n# Runtime\n\nNotebook runtimes (kernels) are docker images with the Project files volume mounted into the current working directory. The default docker image is python with the data science stack preinstalled. Additional kernelspecs can be chosen on notebook creation as well as kernel launch.\n\nUser configured secrets are available as environment variables. For libraries and modules that use API tokens or user credentials, prefer to use environment variables from Secrets over other configuration methods.\n\n## Python Kernel\n\nIPython supports top level async-await. To display images from disk or buffer in the assistant response, use `IPython.display.Image` with `embed=True`. Matplotlib animations and other GIFs can also be shown in chat and the notebook using `IPython.display.Image(gif_path_or_buffer)`.\n\nThe assistant is allowed to `!pip install` libraries. Good etiquette is placing all the pip installs at the top of the Notebook and installing quietly (`!pip install -q`).\n\n## R Kernel\n\n The R kernel (`ir`) comes with a robust set of pre-installed packages, including the full tidyverse suite, machine learning packages like `caret` and `randomForest`, `forecast` for time series analysis, `lme4` for mixed-effects models, and more. Additional packages can be installed as needed using either `install.packages` or `devtools`.\n\n# Noteable UI\n\nDirect the user to the Noteable UI to configure RBAC permissions, Secrets, Data Sources, and Databases. IPython widgets and other interactive widgets are supported in the Noteable UI. Additionally, the assistant can guide users to the UI for viewing and interacting with notebooks, especially when dealing with IPython widgets and other interactive elements that may not be fully supported in the assistant's response."
}https://chat.noteable.io/api/origami/openapi.json
{
"openapi": "3.1.0",
"info": {
"title": "Origamist",
"description": "ChatGPT Plugin server for creating computational notebooks (in Python!), allowing you to execute code, explore data, and visualize results.",
"version": "0.41.1"
},
"servers": [
{
"url": "https://chat.noteable.io",
"description": "Origamist server on https://chat.noteable.io"
}
],
"paths": {
"/api/origami/about/": {
"get": {
"summary": "About",
"description": "About the plugin and runtime environment.",
"operationId": "about",
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {}
}
}
}
},
"security": [
{
"HTTPBearer": []
}
]
}
},
"/api/origami/p/default": {
"put": {
"summary": "Set Default Project",
"description": "Configure the user's default project.",
"operationId": "set_default_project",
"security": [
{
"HTTPBearer": []
}
],
"parameters": [
{
"name": "new_default_project_id",
"in": "query",
"required": true,
"schema": {
"type": "string",
"format": "uuid",
"title": "New Default Project Id"
}
}
],
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
}
}
}
}
},
"/api/origami/p/file_list": {
"get": {
"summary": "Get Default Project Files",
"description": "Get a list of files in the user's default Project.\nOptionally filter by space-delimited list of file extensions and/or filename fuzzy match.",
"operationId": "get_default_project_files",
"security": [
{
"HTTPBearer": []
}
],
"parameters": [
{
"name": "file_extensions",
"in": "query",
"required": false,
"schema": {
"title": "File Extensions",
"type": "string"
}
},
{
"name": "sort_by",
"in": "query",
"required": false,
"schema": {
"enum": [
"updated_at",
"name"
],
"type": "string",
"default": "updated_at",
"title": "Sort By"
}
},
{
"name": "sort_descending",
"in": "query",
"required": false,
"schema": {
"type": "boolean",
"default": false,
"title": "Sort Descending"
}
},
{
"name": "project_id",
"in": "query",
"required": false,
"schema": {
"title": "Project Id",
"type": "string",
"format": "uuid"
}
}
],
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
}
}
}
}
},
"/api/origami/p/file_list/{project_id}": {
"get": {
"summary": "Get Project Files",
"description": "Get a list of files in a specific Project.\nOptionally filter by space-delimited list of file extensions and/or filename fuzzy match.",
"operationId": "get_project_files",
"security": [
{
"HTTPBearer": []
}
],
"parameters": [
{
"name": "project_id",
"in": "path",
"required": true,
"schema": {
"title": "Project Id",
"type": "string",
"format": "uuid"
}
},
{
"name": "file_extensions",
"in": "query",
"required": false,
"schema": {
"title": "File Extensions",
"type": "string"
}
},
{
"name": "sort_by",
"in": "query",
"required": false,
"schema": {
"enum": [
"updated_at",
"name"
],
"type": "string",
"default": "updated_at",
"title": "Sort By"
}
},
{
"name": "sort_descending",
"in": "query",
"required": false,
"schema": {
"type": "boolean",
"default": false,
"title": "Sort Descending"
}
}
],
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
}
}
}
}
},
"/api/origami/p/kernel_list": {
"get": {
"summary": "Get Default Project Kernels",
"description": "Get a list of Kernel names and hardware sizes that can be used when starting Notebooks in the\nuser's default Project.",
"operationId": "get_default_project_kernels",
"security": [
{
"HTTPBearer": []
}
],
"parameters": [
{
"name": "project_id",
"in": "query",
"required": false,
"schema": {
"title": "Project Id",
"type": "string",
"format": "uuid"
}
}
],
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
}
}
}
}
},
"/api/origami/p/kernel_list/{project_id}": {
"get": {
"summary": "Get Project Kernels",
"description": "Get a list of Kernel names and hardware sizes that can be used when starting Notebooks in a\nspecific Project.",
"operationId": "get_project_kernels",
"security": [
{
"HTTPBearer": []
}
],
"parameters": [
{
"name": "project_id",
"in": "path",
"required": true,
"schema": {
"type": "string",
"format": "uuid",
"title": "Project Id"
}
}
],
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
}
}
}
}
},
"/api/origami/f/": {
"post": {
"summary": "Create Notebook",
"description": "Creates a new notebook. If no project ID is provided, the user's default project will be used.",
"operationId": "create_notebook",
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/CreateNotebookRequest"
}
}
},
"required": true
},
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
}
}
},
"security": [
{
"HTTPBearer": []
}
]
}
},
"/api/origami/f/{file_id}": {
"get": {
"summary": "Get Content",
"description": "Get the content of a Notebook or other file type. The after_cell_id optional parameter is for\nretrieving partial content of a Notebook if the full Notebook content gets truncated",
"operationId": "get_content",
"security": [
{
"HTTPBearer": []
}
],
"parameters": [
{
"name": "file_id",
"in": "path",
"required": true,
"schema": {
"type": "string",
"format": "uuid",
"title": "File Id"
}
},
{
"name": "after_cell_id",
"in": "query",
"required": false,
"schema": {
"title": "After Cell Id",
"type": "string"
}
}
],
"responses": {
"200": {
"description": "Successful Response"
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
}
}
}
}
},
"/api/origami/f/metadata/{file_id}": {
"get": {
"summary": "Get File Metadata",
"description": "Get metadata about a file including its file id, filepath, and the project id it is in.\nImportant! Notebooks can only read in files located in the same project, specify the project_id\non Notebook creation if working with this file.",
"operationId": "get_file_metadata",
"security": [
{
"HTTPBearer": []
}
],
"parameters": [
{
"name": "file_id",
"in": "path",
"required": true,
"schema": {
"type": "string",
"format": "uuid",
"title": "File Id"
}
}
],
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/File"
}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
}
}
}
}
},
"/api/origami/f/{file_id}/datasources": {
"get": {
"summary": "Get Datasources",
"description": "Get the databases for a notebook file by UUID.",
"operationId": "get_datasources",
"security": [
{
"HTTPBearer": []
}
],
"parameters": [
{
"name": "file_id",
"in": "path",
"required": true,
"schema": {
"type": "string",
"format": "uuid",
"description": "The ID of the notebook to get the datasources for.",
"title": "File Id"
},
"description": "The ID of the notebook to get the datasources for."
}
],
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {
"type": "array",
"items": {
"$ref": "#/components/schemas/DataSourceForLLM"
},
"title": "Response Get Datasources"
}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
}
}
}
}
},
"/api/origami/f/{file_id}/run_cells": {
"post": {
"summary": "Run Multiple Cells",
"description": "Execute an individual cell_id, run all cells in the Notebook, or run all before / after a cell",
"operationId": "run_cells",
"security": [
{
"HTTPBearer": []
}
],
"parameters": [
{
"name": "file_id",
"in": "path",
"required": true,
"schema": {
"type": "string",
"format": "uuid",
"title": "File Id"
}
}
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ExecuteCellsRequest"
}
}
}
},
"responses": {
"200": {
"description": "Successful Response",
"content": {
"text/plain": {
"schema": {
"type": "string"
}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
}
}
}
}
},
"/api/origami/f/{file_id}/c/{cell_id}": {
"get": {
"summary": "Get Cell",
"description": "Return Cell model details",
"operationId": "get_cell",
"security": [
{
"HTTPBearer": []
}
],
"parameters": [
{
"name": "file_id",
"in": "path",
"required": true,
"schema": {
"type": "string",
"format": "uuid",
"title": "File Id"
}
},
{
"name": "cell_id",
"in": "path",
"required": true,
"schema": {
"type": "string",
"title": "Cell Id"
}
}
],
"responses": {
"200": {
"description": "Successful Response",
"content": {
"text/plain": {
"schema": {
"type": "string"
}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
}
}
}
},
"post": {
"summary": "Change Cell Type",
"description": "Endpoint to allow updating the type of a cell. Currently only supports changing\nbetween Code, Markdown, and SQL cells.",
"operationId": "change_cell_type",
"security": [
{
"HTTPBearer": []
}
],
"parameters": [
{
"name": "file_id",
"in": "path",
"required": true,
"schema": {
"type": "string",
"format": "uuid",
"title": "File Id"
}
},
{
"name": "cell_id",
"in": "path",
"required": true,
"schema": {
"type": "string",
"title": "Cell Id"
}
}
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ChangeCellTypeRequest"
}
}
}
},
"responses": {
"204": {
"description": "Successful Response"
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
}
}
}
},
"put": {
"summary": "Update Cell",
"description": "Replace the source code of a cell.",
"operationId": "update_cell",
"security": [
{
"HTTPBearer": []
}
],
"parameters": [
{
"name": "file_id",
"in": "path",
"required": true,
"schema": {
"type": "string",
"format": "uuid",
"title": "File Id"
}
},
{
"name": "cell_id",
"in": "path",
"required": true,
"schema": {
"type": "string",
"title": "Cell Id"
}
}
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/UpdateCellRequest"
}
}
}
},
"responses": {
"200": {
"description": "Successful Response",
"content": {
"text/plain": {
"schema": {
"type": "string"
}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
}
}
}
}
},
"/api/origami/f/{file_id}/c": {
"post": {
"summary": "Create Cell",
"description": "Create a code or markdown cell.",
"operationId": "create_cell",
"security": [
{
"HTTPBearer": []
}
],
"parameters": [
{
"name": "file_id",
"in": "path",
"required": true,
"schema": {
"type": "string",
"format": "uuid",
"title": "File Id"
}
}
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/CreateCellRequest"
}
}
}
},
"responses": {
"200": {
"description": "Successful Response",
"content": {
"text/plain": {
"schema": {
"type": "string"
}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
}
}
}
}
},
"/api/origami/f/{file_id}/c/{cell_id}/run": {
"post": {
"summary": "Run Cell",
"description": "Run a Cell within a Notebook by ID.",
"operationId": "run_cell",
"security": [
{
"HTTPBearer": []
}
],
"parameters": [
{
"name": "file_id",
"in": "path",
"required": true,
"schema": {
"type": "string",
"format": "uuid",
"title": "File Id"
}
},
{
"name": "cell_id",
"in": "path",
"required": true,
"schema": {
"type": "string",
"title": "Cell Id"
}
}
],
"responses": {
"200": {
"description": "Successful Response",
"content": {
"text/plain": {
"schema": {
"type": "string"
}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
}
}
}
}
},
"/api/origami/u/me": {
"get": {
"summary": "Get User Info",
"description": "Get the current user's id, email, auth type, and default project details",
"operationId": "get_user_info",
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {}
}
}
}
},
"security": [
{
"HTTPBearer": []
}
]
}
},
"/api/origami/k/": {
"get": {
"summary": "Get Active Kernel Sessions",
"description": "Returns a list of the user's active kernel sessions.",
"operationId": "get_active_kernel_sessions",
"security": [
{
"HTTPBearer": []
}
],
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {}
}
}
}
}
},
"post": {
"summary": "Start Kernel",
"description": "Start a Kernel for a Notebook file",
"operationId": "start_kernel",
"security": [
{
"HTTPBearer": []
}
],
"parameters": [
{
"name": "project_id",
"in": "query",
"required": false,
"schema": {
"title": "Project Id",
"type": "string",
"format": "uuid"
}
}
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/StartKernelRequest"
}
}
}
},
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
}
}
}
}
},
"/api/origami/k/{kernel_session_id}": {
"delete": {
"summary": "Shutdown Kernel",
"description": "Shutdown the kernel for a notebook.",
"operationId": "shutdown_kernel",
"security": [
{
"HTTPBearer": []
}
],
"parameters": [
{
"name": "kernel_session_id",
"in": "path",
"required": true,
"schema": {
"type": "string",
"format": "uuid",
"title": "Kernel Session Id"
}
}
],
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
}
}
}
}
}
},
"components": {
"schemas": {
"ChangeCellTypeRequest": {
"properties": {
"cell_type": {
"type": "string",
"enum": [
"code",
"markdown",
"sql"
],
"title": "Cell Type"
},
"db_connection": {
"title": "Db Connection",
"type": "string"
},
"assign_results_to": {
"title": "Assign Results To",
"type": "string"
}
},
"type": "object",
"required": [
"cell_type"
],
"title": "ChangeCellTypeRequest"
},
"CreateCellRequest": {
"properties": {
"cell_id": {
"title": "Cell Id",
"type": "string"
},
"cell_type": {
"type": "string",
"enum": [
"code",
"markdown",
"sql"
],
"title": "Cell Type",
"description": "The type of cell to create.",
"default": "code"
},
"and_run": {
"type": "boolean",
"title": "Run Cell",
"description": "Whether to run the cell after creating it. Only applies to code and sql cells.",
"default": false
},
"source": {
"items": {
"type": "string"
},
"type": "array",
"title": "Source",
"description": "Lines of source code to place in the cell."
},
"before_cell_id": {
"title": "Before Cell ID",
"description": "The ID of a cell to insert new cell before. If null, new cell is added to the end of the notebook.",
"type": "string"
},
"datasource_id": {
"title": "SQL cell datasource ID",
"description": "datasource_id to run SQL against if this is a SQL cell",
"type": "string"
},
"assign_results_to": {
"title": "SQL cell results variable name",
"description": "The variable name to assign SQL query results (as a Dataframe)",
"type": "string"
}
},
"type": "object",
"title": "CreateCellRequest"
},
"CreateNotebookRequest": {
"properties": {
"notebook_name": {
"type": "string",
"title": "Notebook Name",
"description": "The name of the notebook to create. Must end with .ipynb file extension.",
"default": "UntitledGPT.ipynb"
},
"project_id": {
"title": "Project ID",
"description": "The ID of the project to create the notebook in. Defaults to the user's default project.",
"type": "string",
"format": "uuid"
},
"start_kernel": {
"type": "boolean",
"title": "Start Kernel",
"description": "Whether to start the kernel after creating the notebook.",
"default": true
},
"kernel_name": {
"type": "string",
"title": "Kernel Name",
"description": "The name of the kernel to start.",
"default": "python3"
},
"hardware_size": {
"type": "string",
"title": "Hardware Size",
"description": "The size/type of the hardware to use for the kernel. When using a kernel_namewith a -gpu suffix, it is good practice to also use a hardware_size with a -gpu suffix.",
"default": "small"
}
},
"type": "object",
"title": "CreateNotebookRequest"
},
"DataSourceForLLM": {
"properties": {
"name": {
"type": "string",
"title": "Data Source Name",
"description": "Name of the data source."
},
"description": {
"type": "string",
"title": "Data Source Description",
"description": "The description of the data source."
},
"type_id": {
"type": "string",
"title": "Type of database",
"description": "Type of Data Source"
},
"sql_cell_handle": {
"type": "string",
"title": "db_connection string",
"description": "db_connection in the Noteable cell metadata for the database"
}
},
"type": "object",
"required": [
"name",
"description",
"type_id",
"sql_cell_handle"
],
"title": "DataSourceForLLM"
},
"ExecuteCellsRequest": {
"properties": {
"cell_id": {
"title": "Cell Id",
"type": "string"
},
"before_id": {
"title": "Before Id",
"type": "string"
},
"after_id": {
"title": "After Id",
"type": "string"
},
"all": {
"title": "All",
"type": "boolean"
}
},
"type": "object",
"title": "ExecuteCellsRequest"
},
"File": {
"properties": {
"id": {
"type": "string",
"format": "uuid",
"title": "Id"
},
"created_at": {
"type": "string",
"format": "date-time",
"title": "Created At"
},
"updated_at": {
"type": "string",
"format": "date-time",
"title": "Updated At"
},
"deleted_at": {
"title": "Deleted At",
"type": "string",
"format": "date-time"
},
"filename": {
"type": "string",
"title": "Filename"
},
"path": {
"type": "string",
"format": "path",
"title": "Path"
},
"project_id": {
"type": "string",
"format": "uuid",
"title": "Project Id"
},
"space_id": {
"type": "string",
"format": "uuid",
"title": "Space Id"
},
"size": {
"title": "Size",
"type": "integer"
},
"mimetype": {
"title": "Mimetype",
"type": "string"
},
"type": {
"type": "string",
"enum": [
"file",
"notebook"
],
"title": "Type"
},
"current_version_id": {
"title": "Current Version Id",
"type": "string",
"format": "uuid"
},
"presigned_download_url": {
"title": "Presigned Download Url",
"type": "string"
},
"url": {
"title": "Url",
"type": "string"
}
},
"type": "object",
"required": [
"id",
"created_at",
"updated_at",
"filename",
"path",
"project_id",
"space_id",
"type"
],
"title": "File"
},
"HTTPValidationError": {
"properties": {
"detail": {
"items": {
"$ref": "#/components/schemas/ValidationError"
},
"type": "array",
"title": "Detail"
}
},
"type": "object",
"title": "HTTPValidationError"
},
"StartKernelRequest": {
"properties": {
"file_id": {
"type": "string",
"format": "uuid",
"title": "File Id"
},
"kernel_name": {
"title": "Kernel Name",
"type": "string"
},
"hardware_size": {
"type": "string",
"title": "Hardware Size",
"default": "small"
}
},
"type": "object",
"required": [
"file_id"
],
"title": "StartKernelRequest"
},
"UpdateCellRequest": {
"properties": {
"source": {
"items": {
"type": "string"
},
"type": "array",
"title": "Source",
"description": "Lines of source code to replace the cell with.",
"default": []
},
"and_run": {
"type": "boolean",
"title": "Run Cell",
"description": "Whether to run the cell after updating it. Only applies to code and sql cells.",
"default": false
}
},
"type": "object",
"title": "UpdateCellRequest"
},
"ValidationError": {
"properties": {
"loc": {
"items": {
"anyOf": [
{
"type": "string"
},
{
"type": "integer"
}
]
},
"type": "array",
"title": "Location"
},
"msg": {
"type": "string",
"title": "Message"
},
"type": {
"type": "string",
"title": "Error Type"
}
},
"type": "object",
"required": [
"loc",
"msg",
"type"
],
"title": "ValidationError"
}
},
"securitySchemes": {
"HTTPBearer": {
"type": "http",
"scheme": "bearer"
}
}
}
}Discover other plugins from the data category
0 VotesSchoolDigger School Data Plugin
Get detailed data on over 120,000 K-12 schools and 18,500 districts in the United States.
0 Comments
0 VotesTriple Whale
Get e-commerce benchmarks for social ad platforms! Segment metrics by industry, ad spend, and AOV.
0 Comments
0 VotesBlockAtlas
Search the US Census! Find data sets, ask questions, and visualize.
0 Comments
0 VotesGolden
Get current factual data on companies from the Golden knowledge graph.
0 Comments
1 VotesShow Me Diagrams
Create and edit diagrams directly in chat.
2 Comments
0 VotesIEM Plugin
Plugin for working with IEM data.
0 Comments
1 VotesvidIQ Co-Creator for YouTube
Plugin for working with research data on vidIQ and YouTube.
0 Comments
0 VotesNow
Get Google Trends. In Japan, you can also get Twitter trends and search Twitter keywords.
0 Comments
0 VotesQuiver Quantitative
Access data on congressional stock trading, lobbying, insider trading, and proposed legislation.
0 Comments
Search UK Companies
Fetching public information on UK registered Companies and it's Officers from Companies House.
0 Comments
0 VotesLark Base Importer
Importing data into Lark Base for further analysis and presentation. An easy-to-use data management solution.
0 Comments
0 VotesSchoolDigger School Data Plugin
Get detailed data on over 120,000 K-12 schools and 18,500 districts in the United States.
0 Comments
0 VotesClearbit
Access Clearbit Enrichment, Prospecting, Reveal APIs and website visitors data to access information about companies.
0 Comments
0 VotesDefinitive Facts
Ask questions using 100+ relational datasets - sports, finance, and more at https://definitive.io/datasets.
0 Comments
0 VotesOwler
Owler provides real-time business news and insights on private and public companies.
0 Comments
0 VotesChat with GSheet
Conversational analysis over G Sheet data.
0 Comments
0 VotesCSV Export
Create and export custom CSV layouts in a flash.
0 Comments
0 VotesShulex Insight
Provides global market insights and consumer insights to e-commerce enterprises, based on global merchandise data.
0 Comments
0 VotesTabor AI
Trusted source for senior living market research, data, and analytics. 35K communities, 9K operators in the USA.
0 Comments
0 VotesPoll the People
The ultimate guide for market research and surveys.
0 Comments
0 VotesChat With Your Data
Conversational analysis over your databases and spreadsheets.
0 Comments
0 VotesWorld Bank Data
Access global data on development, economics, demographics, and more from the World Bank Datasets using a query term.
0 Comments
0 VotesMake A Sheet
Generate a csv file that can directly be imported into Google Sheets or MS Excel.
0 Comments
0 VotesVehicle Data IL
An Israel-focused tool, extracting car details from data.gov.il based on model, year, hue, and count.
0 Comments
0 VotesScholarly Graph Link
You can search papers, authors, datasets and software. It has access to Figshare, Arxiv, and many others.
0 Comments