npmpackage.info

Gathering detailed insights and metrics for dash-table

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Gathering detailed insights and metrics for dash-table

dash-table

Data Apps & Dashboards for Python. No JavaScript Required.

5.2.13

21,547

MIT

Python

1,464,785 4.9

Installations

npm install dash-table

Score

Supply Chain

80.7

Quality

89.6

Maintenance

100

Vulnerability

100

License

Pull Requests

Open

41

Total

1,162

Closed

268

Merged

853

Issues

Open

454

Total

1,827

Closed

1,373

Releases

Dash v2.18.2

v2.18.2

Published on 04 Nov 2024

Dash v2.18.1

v2.18.1

Published on 12 Sept 2024

Dash v2.18.0

v2.18.0

Published on 04 Sept 2024

Dash v2.17.1

v2.17.1

Published on 12 Jun 2024

Dash v2.17.0

v2.17.0

Published on 03 May 2024

Dash v2.16.1

v2.16.1

Published on 06 Mar 2024

View all 73 releases

Developer

plotly

Developer Guide

BETA

Module System

CommonJS

Min. Node Version

>=12.0.0

Typescript Support

No

Node Version

16.14.0

NPM Version

8.3.1 Statistics

21,547 Stars

7,757 Commits

2,076 Forks

425 Watching

51 Branches

199 Contributors

Updated on 27 Nov 2024

Languages

Python (38.91%)

TypeScript (22.63%)

HTML (19.63%)

JavaScript (17.78%)

Less (0.58%)

CSS (0.45%)

Shell (0.01%)

Total Downloads

Cumulative downloads

Total Downloads

1,464,785

Last day

0.8%

1,190

Compared to previous day

Last week

3.9%

7,580

Compared to previous week

Last month

5.2%

31,182

Compared to previous month

Last year

-19.7%

410,274

Compared to previous year

Daily Downloads

Weekly Downloads

Monthly Downloads

Yearly Downloads

Peer Dependencies

prop-types react react-dom

Dev Dependencies

@babel/cli @babel/core @babel/plugin-syntax-dynamic-import @babel/plugin-transform-regenerator @babel/polyfill @babel/preset-env @babel/preset-react @fortawesome/fontawesome-svg-core @fortawesome/free-regular-svg-icons @fortawesome/free-solid-svg-icons @fortawesome/react-fontawesome @percy/storybook @plotly/dash-component-plugins @plotly/webpack-dash-dynamic-import @storybook/builder-webpack5 @storybook/cli @storybook/manager-webpack5 @storybook/react @storybook/semver @types/chai @types/d3-format @types/mocha @types/papaparse @types/ramda @types/react @types/react-dom @types/react-select @typescript-eslint/eslint-plugin @typescript-eslint/parser babel-loader chai css-loader css.escape d3-format es-check eslint eslint-config-prettier fast-isnumeric file-loader highlight.js karma karma-chrome-launcher karma-mocha karma-typescript karma-webpack less less-loader mocha npm-run-all papaparse prettier ramda raw-loader react react-docgen react-dom react-select regenerator-runtime remarkable sheetclip style-loader ts-loader typescript webpack webpack-cli webpack-dev-server webpack-preprocessor xlsx rimraf

Versions

Dash

Dash is the most downloaded, trusted Python framework for building ML & data science web apps.

Built on top of Plotly.js, React and Flask, Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Python code. Read our tutorial (proudly crafted ❤️ with Dash itself).

Docs: Create your first Dash app in under 5 minutes
dash.gallery: Dash app gallery with Python & R code

Dash App Examples

Dash App	Description
	Here’s a simple example of a Dash App that ties a Dropdown to a Plotly Graph. As the user selects a value in the Dropdown, the application code dynamically exports data from Google Finance into a Pandas DataFrame. This app was written in just 43 lines of code (view the source).
	Dash app code is declarative and reactive, which makes it easy to build complex apps that contain many interactive elements. Here’s an example with 5 inputs, 3 outputs, and cross filtering. This app was composed in just 160 lines of code, all of which were Python.
	Dash uses Plotly.js for charting. About 50 chart types are supported, including maps.
	Dash isn't just for dashboards. You have full control over the look and feel of your applications. Here's a Dash App that's styled to look like a PDF report.

To learn more about Dash, read the extensive announcement letter or jump in with the user guide.

Dash OSS & Dash Enterprise

With Dash Open Source, Dash apps run on your local laptop or workstation, but cannot be easily accessed by others in your organization.

Scale up with Dash Enterprise when your Dash app is ready for department or company-wide consumption. Or, launch your initiative with Dash Enterprise from the start to unlock developer productivity gains and hands-on acceleration from Plotly's team.

ML Ops Features: A one-stop shop for ML Ops: Horizontally scalable hosting, deployment, and authentication for your Dash apps. No IT or DevOps required.

App manager Deploy & manage Dash apps without needing IT or a DevOps team. App Manager gives you point & click control over all aspects of your Dash deployments.
Kubernetes scaling Ensure high availability of Dash apps and scale horizontally with Dash Enterprise’s Kubernetes architecture. No IT or Helm required.
No code auth Control Dash app access in a few clicks. Dash Enterprise supports LDAP, AD, PKI, Okta, SAML, OpenID Connect, OAuth, SSO, and simple email authentication.
Job Queue The Job Queue is the key to building scalable Dash apps. Move heavy computation from synchronous Dash callbacks to the Job Queue for asynchronous background processing.

Low-Code Features: Low-code Dash app capabilities that supercharge developer productivity.

Design Kit Design like a pro without writing a line of CSS. Easily arrange, style, brand, and customize your Dash apps.
Snapshot Engine Save & share Dash app views as links or PDFs. Or, run a Python job through Dash and have Snapshot Engine email a report when the job is done.
Dashboard Toolkit Drag & drop layouts, chart editing, and crossfilter for your Dash apps.
Embedding Natively embed Dash apps in an existing web application or website without the use of IFrames.

Enterprise AI Features: Everything that your data science team needs to rapidly deliver AI/ML research and business initiatives.

AI App Marketplace Dash Enterprise ships with dozens of Dash app templates for business problems where AI/ML is having the greatest impact.
Big Data for Pything Connect to Python's most popular big data back ends: Dask, Databricks, NVIDIA RAPIDS, Snowflake, Postgres, Vaex, and more.
GPU & Dask Acceleration Dash Enterprise puts Python’s most popular HPC stack for GPU and parallel CPU computing in the hands of business users.
Data Science Workspaces Be productive from Day 1. Write and execute Python, R, & Julia code from Dash Enterprise's onboard code editor.

See https://plotly.com/contact-us/ to get in touch.

Dash Enterprise

No vulnerabilities found.

10

Maintained

Determines if the project is "actively maintained".

10

Dangerous-Workflow

Determines if the project's GitHub Action workflows avoid dangerous patterns.

10

Binary-Artifacts

Determines if the project has generated executable (binary) artifacts in the source repository.

10

License

Determines if the project has defined a license.

8

Code-Review

Determines if the project requires human code review before pull requests (aka merge requests) are merged.

4

Pinned-Dependencies

Determines if the project has declared and pinned the dependencies of its build process.

0

Token-Permissions

Determines if the project's workflows follow the principle of least privilege.

0

CII-Best-Practices

Determines if the project has an OpenSSF (formerly CII) Best Practices Badge.

0

Security-Policy

Determines if the project has published a security policy.

0

Fuzzing

Determines if the project uses fuzzing.

0

SAST

Determines if the project uses static code analysis.

0

Vulnerabilities

Determines if the project has open, known unfixed vulnerabilities.

Score

4.9

/10

Last Scanned on 2024-11-18

The Open Source Security Foundation is a cross-industry collaboration to improve the security of open source software (OSS). The Scorecard provides security health metrics for open source projects.

Learn More