| --- |
| license: mit |
| task_categories: |
| - time-series-forecasting |
| tags: |
| - tsfile |
| - timeseries |
| - time-series |
| - github |
| - trending |
| - repositories |
| - software-engineering |
| - popularity |
| - format:tsfile |
| pretty_name: GitHub Trending Projects (TsFile) |
| size_categories: |
| - 100K<n<1M |
| --- |
| |
| # GitHub Trending Projects (TsFile) |
|
|
| Apache TsFile version of [`ronantakizawa/github-top-projects`](https://huggingface.co/datasets/ronantakizawa/github-top-projects). |
|
|
| ## Overview |
|
|
| 423,098 GitHub trending repository entries spanning 12+ years (August 2013 – |
| November 2025), scraped from Wayback Machine snapshots of GitHub's trending page. |
| Captures the evolution of trending repositories over time — software development |
| trends across languages and domains, and popular open-source projects. Multiple |
| intra-day snapshots per repository are collapsed to the latest snapshot per day. |
|
|
| ## Schema (TsFile structure) |
|
|
| - **Time** (INT64, milliseconds) — the snapshot date. |
| - **repo_owner** / **name** (TAG) — the repository (device dimension). |
| - **star_count** / **fork_count** (FIELD, FLOAT). |
| - **rank** (FIELD, INT64) — the daily rank. |
| |
| ## Usage |
| |
| Install the Apache TsFile Python SDK (`pip install tsfile`) and read a converted file: |
| |
| ```python |
| from pathlib import Path |
| from tsfile import TsFileReader |
| |
| path = Path("github_top_projects.tsfile") |
| with TsFileReader(str(path)) as reader: |
| schemas = reader.get_all_table_schemas() |
| print("tables:", list(schemas)) |
| table_name = next(iter(schemas)) |
| table = schemas[table_name] |
| columns = [column.get_column_name() for column in table.get_columns()] |
| print("columns:", columns) |
| field_names = [ |
| column.get_column_name() |
| for column in table.get_columns() |
| if column.get_column_name() not in {"Time", "time"} |
| ] |
| if field_names: |
| with reader.query_table(table_name, field_names[:3], batch_size=1024) as result: |
| batch = result.read_arrow_batch() |
| if batch is not None: |
| print(batch.to_pandas().head()) |
| ``` |
| |
| ## Source & license |
| |
| - Original dataset: https://huggingface.co/datasets/ronantakizawa/github-top-projects |
| - Author / publisher: ronantakizawa |
| - License: MIT |
| |
