162 lines
11 KiB
Plaintext
162 lines
11 KiB
Plaintext
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Metadata-Version: 2.1
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Name: dash
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Version: 3.2.0
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Summary: A Python framework for building reactive web-apps. Developed by Plotly.
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Home-page: https://plotly.com/dash
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Author: Chris Parmer
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Author-email: chris@plotly.com
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License: MIT
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Project-URL: Documentation, https://dash.plotly.com
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Project-URL: Source, https://github.com/plotly/dash
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Project-URL: Issue Tracker, https://github.com/plotly/dash/issues
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Platform: UNKNOWN
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Classifier: Development Status :: 5 - Production/Stable
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Classifier: Environment :: Web Environment
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Classifier: Framework :: Dash
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Classifier: Framework :: Flask
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Classifier: Intended Audience :: Developers
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Classifier: Intended Audience :: Education
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Classifier: Intended Audience :: Financial and Insurance Industry
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Classifier: Intended Audience :: Healthcare Industry
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Classifier: Intended Audience :: Manufacturing
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Classifier: Intended Audience :: Science/Research
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Classifier: License :: OSI Approved :: MIT License
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Classifier: Programming Language :: Python
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3.8
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Classifier: Programming Language :: Python :: 3.9
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Classifier: Programming Language :: Python :: 3.10
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Classifier: Programming Language :: Python :: 3.11
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Classifier: Programming Language :: Python :: 3.12
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Classifier: Topic :: Database :: Front-Ends
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Classifier: Topic :: Office/Business :: Financial :: Spreadsheet
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Classifier: Topic :: Scientific/Engineering :: Visualization
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Classifier: Topic :: Software Development :: Libraries :: Application Frameworks
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Classifier: Topic :: Software Development :: Widget Sets
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Requires-Python: >=3.8
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Description-Content-Type: text/markdown
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License-File: LICENSE
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Requires-Dist: Flask <3.2,>=1.0.4
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Requires-Dist: Werkzeug <3.2
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Requires-Dist: plotly >=5.0.0
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Requires-Dist: importlib-metadata
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Requires-Dist: typing-extensions >=4.1.1
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Requires-Dist: requests
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Requires-Dist: retrying
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Requires-Dist: nest-asyncio
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Requires-Dist: setuptools
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Provides-Extra: async
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Requires-Dist: flask[async] ; extra == 'async'
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Provides-Extra: celery
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Requires-Dist: redis <=5.0.4,>=3.5.3 ; extra == 'celery'
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Requires-Dist: kombu <5.4.0 ; extra == 'celery'
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Requires-Dist: celery[redis] <5.4.0,>=5.1.2 ; extra == 'celery'
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Provides-Extra: ci
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Requires-Dist: black ==22.3.0 ; extra == 'ci'
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Requires-Dist: flake8 ==7.0.0 ; extra == 'ci'
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Requires-Dist: flaky ==3.8.1 ; extra == 'ci'
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Requires-Dist: flask-talisman ==1.0.0 ; extra == 'ci'
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Requires-Dist: ipython <9.0.0 ; extra == 'ci'
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Requires-Dist: mimesis <=11.1.0 ; extra == 'ci'
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Requires-Dist: mock ==4.0.3 ; extra == 'ci'
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Requires-Dist: numpy <=1.26.3 ; extra == 'ci'
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Requires-Dist: orjson ==3.10.3 ; extra == 'ci'
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Requires-Dist: openpyxl ; extra == 'ci'
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Requires-Dist: pandas >=1.4.0 ; extra == 'ci'
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Requires-Dist: pyarrow ; extra == 'ci'
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Requires-Dist: pylint ==3.0.3 ; extra == 'ci'
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Requires-Dist: pytest-mock ; extra == 'ci'
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Requires-Dist: pytest-sugar ==0.9.6 ; extra == 'ci'
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Requires-Dist: pyzmq ==25.1.2 ; extra == 'ci'
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Requires-Dist: xlrd >=2.0.1 ; extra == 'ci'
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Requires-Dist: pytest-rerunfailures ; extra == 'ci'
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Requires-Dist: jupyterlab <4.0.0 ; extra == 'ci'
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Requires-Dist: mypy ==1.15.0 ; (python_version >= "3.12") and extra == 'ci'
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Requires-Dist: pyright ==1.1.398 ; (python_version >= "3.7") and extra == 'ci'
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Provides-Extra: compress
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Requires-Dist: flask-compress ; extra == 'compress'
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Provides-Extra: dev
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Requires-Dist: coloredlogs >=15.0.1 ; extra == 'dev'
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Requires-Dist: fire >=0.4.0 ; extra == 'dev'
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Requires-Dist: PyYAML >=5.4.1 ; extra == 'dev'
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Provides-Extra: diskcache
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Requires-Dist: diskcache >=5.2.1 ; extra == 'diskcache'
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Requires-Dist: multiprocess >=0.70.12 ; extra == 'diskcache'
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Requires-Dist: psutil >=5.8.0 ; extra == 'diskcache'
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Provides-Extra: testing
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Requires-Dist: beautifulsoup4 >=4.8.2 ; extra == 'testing'
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Requires-Dist: cryptography ; extra == 'testing'
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Requires-Dist: lxml >=4.6.2 ; extra == 'testing'
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Requires-Dist: percy >=2.0.2 ; extra == 'testing'
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Requires-Dist: pytest >=6.0.2 ; extra == 'testing'
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Requires-Dist: requests[security] >=2.21.0 ; extra == 'testing'
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Requires-Dist: selenium <=4.2.0,>=3.141.0 ; extra == 'testing'
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Requires-Dist: waitress >=1.4.4 ; extra == 'testing'
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Requires-Dist: multiprocess >=0.70.12 ; extra == 'testing'
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Requires-Dist: psutil >=5.8.0 ; extra == 'testing'
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Requires-Dist: dash-testing-stub >=0.0.2 ; extra == 'testing'
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# Dash
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[](https://circleci.com/gh/plotly/dash)
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[](https://github.com/plotly/dash/blob/master/LICENSE)
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[](https://pypi.org/project/dash/)
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[](https://pypi.org/project/dash/)
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[](https://github.com/plotly/dash/graphs/contributors)
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#### *Dash is the most downloaded, trusted Python framework for building ML & data science web apps*.
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Built on top of [Plotly.js](https://github.com/plotly/plotly.js), [React](https://reactjs.org/) and [Flask](https://palletsprojects.com/p/flask/), Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Python code. Read [our tutorial](https://dash.plotly.com/getting-started) (proudly crafted ❤️ with Dash itself).
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- [Docs](https://dash.plotly.com/getting-started): Create your first Dash app in under 5 minutes
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- [dash.gallery](https://dash.gallery): Dash app gallery with Python & R code
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<div align="center">
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<a href="https://dash.plotly.com/project-maintenance">
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<img src="https://dash.plotly.com/assets/images/maintained-by-plotly.png" width="400px" alt="Maintained by Plotly">
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</a>
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</div>
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### Dash App Examples
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| Dash App | Description |
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|--- | :---: |
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| | 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](https://gist.github.com/chriddyp/3d2454905d8f01886d651f207e2419f0)). |
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||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.|
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|| Dash uses [Plotly.js](https://github.com/plotly/plotly.js) for charting. About 50 chart types are supported, including maps. |
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|| 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. |
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To learn more about Dash, read the [extensive announcement letter](https://medium.com/@plotlygraphs/introducing-dash-5ecf7191b503) or [jump in with the user guide](https://plotly.com/dash).
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### Dash OSS & Dash Enterprise
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With Dash Open Source, Dash apps run on your local laptop or workstation, but cannot be easily accessed by others in your organization.
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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.
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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.
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- [**App manager**](https://plotly.com/dash/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.
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- [**Kubernetes scaling**](https://plotly.com/dash/kubernetes/) Ensure high availability of Dash apps and scale horizontally with Dash Enterprise’s Kubernetes architecture. No IT or Helm required.
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- [**No code auth**](https://plotly.com/dash/authentication/) Control Dash app access in a few clicks. Dash Enterprise supports LDAP, AD, PKI, Okta, SAML, OpenID Connect, OAuth, SSO, and simple email authentication.
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- [**Job Queue**](https://plotly.com/dash/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.
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Low-Code Features: Low-code Dash app capabilities that supercharge developer productivity.
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- [**Design Kit**](https://plotly.com/dash/design-kit/) Design like a pro without writing a line of CSS. Easily arrange, style, brand, and customize your Dash apps.
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- [**Snapshot Engine**](https://plotly.com/dash/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.
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- [**Dashboard Toolkit**](https://plotly.com/dash/toolkit/) Drag & drop layouts, chart editing, and crossfilter for your Dash apps.
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- [**Embedding**](https://plotly.com/dash/embedding/) Natively embed Dash apps in an existing web application or website without the use of IFrames.
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Enterprise AI Features: Everything that your data science team needs to rapidly deliver AI/ML research and business initiatives.
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- [**AI App Marketplace**](https://plotly.com/dash/ai-and-ml-templates/) Dash Enterprise ships with dozens of Dash app templates for business problems where AI/ML is having the greatest impact.
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- [**Big Data for Pything**](https://plotly.com/dash/big-data-for-python/) Connect to Python's most popular big data back ends: Dask, Databricks, NVIDIA RAPIDS, Snowflake, Postgres, Vaex, and more.
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- [**GPU & Dask Acceleration**](https://plotly.com/dash/gpu-dask-acceleration/) Dash Enterprise puts Python’s most popular HPC stack for GPU and parallel CPU computing in the hands of business users.
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- [**Data Science Workspaces**](https://plotly.com/dash/workspaces/) Be productive from Day 1. Write and execute Python, R, & Julia code from Dash Enterprise's onboard code editor.
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See [https://plotly.com/contact-us/](https://plotly.com/contact-us/) to get in touch.
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