Alternatives

Products that do what Streamlit does

Turn python scripts into beautiful ML tools

1. 1ST
   Streamlit – Turn Python Scripts into Beautiful ML Tools▲52

   2019 · github.com

2. 2
   Stream 2.0▲303

   API for building, scaling and personalizing feeds

   2016

3. 3
   Streamoku▲244

   Streamlit hosting made simple

   2025

4. 4
   GitHub Spark AI▲193

   Create and manage full-stack micro-apps with AI prompts

   2024

5. 5
   GitHub Spark▲249

   AI platform for building + deploying full-stack apps

   2025

6. 6
   Gradio 5.0▲224

   The easiest way to build AI web apps

   2024

7. 7RA
   Riko – A Python stream processing engine modeled after Yahoo! Pipes▲283

   2016 · github.com

8. 8
   QuickAI▲80

   Quickly experiment with state-of-the-art ML models

   2021

9. 9
   TensorPort▲143

   Help teams apply machine learning to real-world applications

   2017

10. 10
    ML Kit (by Google)▲195

    Machine learning for mobile developers

    2018

11. 11
    Hackerforms▲134

    Transform your Python scripts into beautiful form-like apps

    2022

12. 12
    ZenML▲84

    Create reproducible machine learning pipelines

    2020

13. 13
    Keplr▲112

    Turn your datasets into prediction engines

    2016

14. 14
    fastht.ml▲123

    Modern web applications in pure Python

    2024

15. 15AT
    A tool to seed your dev database with real data▲129

    A bunch of developers and myself have created RepliByte - an open-source tool to seed a development database from a production database. Features: - Support data backup and restore for PostgreSQL, MySQL and MongoDB - Replace sensitive data with fake data - Works on large database (> 10GB) (read Design) - Database Subsetting: Scale down a production database to a more reasonable size - Start a local database with the prod data in a single command - On-the-fly data (de)compression (Zlib) - On-the-fly data de/encryption (AES-256) - Fully stateless (no server, no daemon) and lightweight…

    2022

16. 16
    datagran▲130

    Put ML pipelines into production, fast. Without coding

    2019

17. 17
    DVC Studio▲95

    Machine Learning Experiments based on Git

    2021

18. 18RM
    Relé – Make Google PubSub Integration Easier for Python Projects▲40

    2019 · github.com

19. 19GF
    GitHub for ML datasets▲15

    2018 · dataturks.com

20. 20
    Satta▲64

    A note taking tool where developers can run Python scripts

    2022

21. 21
    automl-docker▲68

    Open-source, easily create ready-to-use ML models for NLP

    2022

22. 22
    Simone▲44

    Repurpose videos to blogposts with context-aware screenshots

    2024

23. 23
    Buildfy▲84

    Where ideas take shape

    2024

24. 24UT
    Use tailwindCSS/shadcn UI to build beautiful app in Python streamlit▲5

    streamlit-shadcn-ui is a python lib that allows you to use shadcn components in streamlit. Benefits: 1. It extends the components options for building streamlit app 2. A morden and clean designed components for streamlit developer 3. streamlit-shadcn-ui provide a component "element", which allows you to write react-like component in python. You can nest and combine all the components with existing code. Related resources: + Github: https://github.com/ObservedObserver/streamlit-shadcn-ui + Demo: https://shadcn.streamlit.app/ + Streamlit:…

    2023 · github.com

Ranked by how close each launch is in meaning, then by votes. Refine with a description →