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MoigeMatino/fastapi-ml-deploy

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This project demonstrates how to serve a machine learning model using FastAPI and Docker into production as a RESTful API using FastAPI. The API allows users to send data and receive stock price predictions using Prophet ML model.

active 2025-02-182025-03-02 (UTC)

Complete coverage26,781 / 26,781 hourly files (100%) · 2 absent upstream2023-08-152026-09-03 (UTC)
Events
33
Pushes
10
Pull requests
7
Issues
9
Stars
1
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 13 days from 2025-02-18 to 2025-03-02. Pushes: 10 total, peak 4 in a day. Pull requests: 7 total, peak 2 in a day. Issues: 9 total, peak 3 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 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

ContributorContributionsPushesPRsComments
MoigeMatino261070

Recent activity

Latest issues, pull requests and releases

  • Pull request#14MoigeMatino2025-03-02 18:43
  • Pull request#14MoigeMatino2025-03-02 18:43
  • Issue#6MoigeMatino2025-02-26 21:04
    Set up db to save prediction results
  • Pull request#13MoigeMatino2025-02-26 21:04
  • Pull request#13MoigeMatino2025-02-26 21:03
  • Issue#12MoigeMatino2025-02-25 19:44
    Convert view functions and the model prediction function into asynchronous functions
  • Issue#11MoigeMatino2025-02-25 19:43
    Store trained models to AWS S3, outside of Heroku
  • Issue#10MoigeMatino2025-02-25 19:43
    Create a production Dockerfile
  • Issue#7MoigeMatino2025-02-23 20:04
    Add logging and monitoring
  • Issue#6MoigeMatino2025-02-23 20:03
    Set up db to save prediction results
  • Issue#5MoigeMatino2025-02-22 20:12
    Add authentication and rate limiting
  • Issue#4MoigeMatino2025-02-22 20:08
    Add ci/cd workflow
  • Issue#3MoigeMatino2025-02-22 20:07
    Deploy api
  • Pull request#2MoigeMatino2025-02-21 18:13
  • Pull request#1MoigeMatino2025-02-20 09:15
  • Pull request#1MoigeMatino2025-02-20 09:15

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.