Copyright 2021-2024 Avaiga Private Limited
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
Taipy is an open-source Python library for easy, end-to-end application development for data scientists and machine learning engineers, featuring what-if analyses, smart pipeline execution, built-in scheduling, and deployment tools.
Enables building production-ready web applications.
No need to learn new languages or full-stack frameworks.
Concentrate on Data and AI algorithms without development and deployment complexities.
Website: https://www.taipy.io
Documentation: https://docs.taipy.io/en/latest/
Demos & Examples: https://docs.taipy.io/en/latest/gallery/
Source code: https://github.com/Avaiga/taipy/
Contributing: https://docs.taipy.io/en/latest/contributing/contributing/
Bug reports: https://github.com/Avaiga/taipy/issues
Discord support: https://discord.com/invite/SJyz2VJGxV
Python-Based UI Framework: Taipy is designed for Python users, particularly those in AI and data science. It allows them to create full-stack applications without learning additional skills like HTML, CSS, or JavaScript.
Pre-Built Components for Data Pipelines: Taipy includes pre-built components that allow users to interact with data pipelines, including visualization and management tools.
Scenario and Data Management Features: Taipy offers features for managing different business scenarios and data, which can be useful for applications like demand forecasting or production planning.
Version Management and Pipeline Orchestration: It includes tools for managing application versions, pipeline versions, and data versions, which are beneficial for multi-user environments.
To install Taipy stable release run:
pip install taipy
To install Taipy on a Conda Environment or from source code, please refer to the
Installation Guide.
To get started with Taipy, please refer to the Getting Started Guide.
FAQs
A 360° open-source platform from Python pilots to production-ready web apps.
We found that taipy demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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