Both tagged data-science, data-visualization.
RepoClash › Data Analysis rivals
RepoClash · the open-source arena
streamlit vs reflex
Data Analysis rivals. Both tagged data-analysis, data-science, data-visualization. Six rounds of real GitHub data, an AI referee, and the crowd picks a side.

streamlit/streamlit: 46,309 stars, Python. Streamlit — A faster way to build and share data apps.
reflex-dev/reflex: 29,013 stars, Python. 🕸️ Web apps in pure Python 🐍
streamlit vs reflex: tale of the tape
GitHub data as of November 11, 2026streamlit has 1.6 times as many GitHub stars as reflex (46,309 vs 29,013). In the last 6 days, streamlit gained more stars: +56 (+0.1%) against +29 (+0.1%) for reflex. streamlit saw more development in the last 52 weeks with 4,625 commits, against 1,035 for reflex. streamlit is the older project (created August 2019), reflex started in October 2022. Both are written mainly in Python.
| streamlit/streamlit | reflex-dev/reflex | |
|---|---|---|
| Stars | 46,309 | 29,013 |
| Stars gained, last 6 days | +56 | +29 |
| Growth, last 6 days | +0.1% | +0.1% |
| Avg. stars per day since creation | 18 | 20 |
| Forks | 4,452 | 1,835 |
| Commits, last 52 weeks | 4,625 | 1,035 |
| Open issues | 1,192 | 373 |
| Best Repocharts rank today | #20 in Dev Tools | #43 in Dev Tools |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Created | Aug 24, 2019 | Oct 25, 2022 |
| Last push | Nov 11, 2026 | Nov 11, 2026 |
Quick answers
Which is more popular, streamlit or reflex?
streamlit has 1.6 times as many GitHub stars as reflex (46,309 vs 29,013) (Repocharts data as of November 11, 2026).
Which is growing faster, streamlit or reflex?
In the last 6 days, streamlit gained more stars: +56 (+0.1%) against +29 (+0.1%) for reflex.
Which is more actively developed?
streamlit saw more development in the last 52 weeks with 4,625 commits, against 1,035 for reflex.
What languages are streamlit and reflex written in?
Both are written mainly in Python.
How does RepoClash compare streamlit and reflex?
RepoClash scores both repositories in six rounds (popularity, momentum, activity, community, maintenance and freshness) from public GitHub data, adds an AI referee's verdict and lets developers vote for their favorite. Star counts are updated daily.