Time Series Forecasting with Python
active 2023-08-15 → 2026-03-02 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 931 days from 2023-08-15 to 2026-03-02. Pushes: 6 total, peak 1 in a day. Pull requests: 5 total, peak 2 in a day. Issues: 20 total, peak 2 in a day. Comments: 27 total, peak 5 in a day. Stars: 323 total, peak 8 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 |
|---|---|---|---|---|
| manujosephv | 19 | 1 | 2 | 15 |
| giambascientist86 | 5 | 0 | 0 | 3 |
| Norlandz | 4 | 0 | 0 | 1 |
| Karanspackt | 3 | 3 | 0 | 0 |
| sumantabasak | 3 | 0 | 0 | 2 |
| beliu | 2 | 0 | 0 | 0 |
| AhmedGillani | 2 | 0 | 0 | 1 |
| ArjunVarma39 | 2 | 0 | 0 | 1 |
| yashpackt | 2 | 0 | 0 | 1 |
| basilmusa | 2 | 0 | 0 | 1 |
| Packt-ITService | 1 | 1 | 0 | 0 |
| KarimABOUSSELHAM | 1 | 0 | 0 | 0 |
| jrodenbergrheem | 1 | 0 | 0 | 0 |
| evan01larsen | 1 | 0 | 0 | 1 |
| shivani-2001 | 1 | 0 | 1 | 0 |
| bobo-jamson | 1 | 0 | 1 | 0 |
| sinakeshawarz | 1 | 0 | 1 | 0 |
| abhii9v | 1 | 0 | 0 | 0 |
| Laoban-man | 1 | 0 | 0 | 1 |
| marbel89 | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#49sinakeshawarz2025-05-19 01:50
- Issue comment#5Laoban-man2024-11-12 14:22KeyError: "None of [Index(['Year', 'Revenue(mil. USD)'], dtype='object')] are in the [columns]"
- Issue#47sumantabasak2024-09-08 11:22Problem in evaluate_forecast - Chapter 10
- Issue comment#46sumantabasak2024-08-31 05:51ML forecasting notebook 1 chapter 8 breaks
- Issue comment#41manujosephv2024-08-31 00:53Chapter 4- 02-Baseline Forecasts using darts
- Issue comment#46manujosephv2024-08-31 00:47ML forecasting notebook 1 chapter 8 breaks
- Issue comment#46sumantabasak2024-08-30 13:57ML forecasting notebook 1 chapter 8 breaks
- Issue comment#21giambascientist862024-08-22 05:33Fixing multiple errors
- Issue comment#21manujosephv2024-08-21 23:58Fixing multiple errors
- Issue comment#46giambascientist862024-08-20 13:01ML forecasting notebook 1 chapter 8 breaks
- Issue comment#21giambascientist862024-08-20 12:51Fixing multiple errors
- Issue#46giambascientist862024-08-04 18:39ML forecasting notebook 1 chapter 8 breaks
- Issue comment#45manujosephv2024-08-02 02:09Unable to load environment on windows 11
- Issue#45giambascientist862024-08-01 11:31Unable to load environment on windows 11
- Issue comment#44manujosephv2024-06-29 10:20Can't download "src" package
- Issue#44jrodenbergrheem2024-06-24 22:11Can't download "src" package
- Issue#43abhii9v2024-06-05 06:27Chapter 07 Code
- Issue comment#42manujosephv2024-06-05 01:22Command "conda env create -f anaconda_env.yml" fails
- Issue comment#42basilmusa2024-06-02 21:40Command "conda env create -f anaconda_env.yml" fails
- Issue#42basilmusa2024-06-02 21:39Command "conda env create -f anaconda_env.yml" fails
- Issue#41taimoorkh2024-05-15 09:02Chapter 4- 02-Baseline Forecasts using darts
- Issue#40beliu2024-05-08 16:27Mismatch between `ts_utils.py` implementation of `forecast_bias` vs what is written in Chapter 4 of Book
- Issue#39beliu2024-05-08 16:22ValueError from `eval_model` function within Chapter 4: 02-Baseline Forecasts using darts.ipynb Cell 12
- Pull request#37bobo-jamson2024-04-24 01:25
- Issue#25yashpackt2024-04-08 11:38sklearn.linear_model RidgeCV got an unexpected keyword argument 'normalize'
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 323 stars here means stars gained during the window, not the repo's star count.