Simple boilerplate for ChatterBot using Flask
active 2023-08-29 → 2025-04-07 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 588 days from 2023-08-29 to 2025-04-07. Pushes: 0 total, peak 0 in a day. Pull requests: 2 total, peak 1 in a day. Issues: 4 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 17 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Sibdok | 1 | 0 | 0 | 0 |
| neileames | 1 | 0 | 0 | 0 |
| FiammettaC | 1 | 0 | 0 | 0 |
| Shivam623 | 1 | 0 | 0 | 0 |
| piyushaswani55 | 1 | 0 | 1 | 0 |
| arihant2math | 1 | 0 | 1 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#36arihant2math2024-12-05 16:23
- Pull request#34piyushaswani552024-11-15 09:38
- Issue#41neileames2024-06-01 12:51ModuleNotFoundError: No module named 'spacy'
- Issue#40FiammettaC2024-03-22 13:22Add reactions to bot messages
- Issue#39Sibdok2023-12-02 09:09I created a Telegram chatbot and deployed it in the pythonanywhere cloud. If I don't use the bot for long hours or days, it stops working and I need to restart it to start the chatbot. How can I make it work forever in the pythonanywhere cloud?
- Issue#38Shivam6232023-08-29 07:59flask-sqlalchemy 3.0.5 requires sqlalchemy>=1.4.18, but you have sqlalchemy 1.2.19 which is incompatible.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 17 stars here means stars gained during the window, not the repo's star count.