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Python · By owid
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Access Our World in Data from Python with the owid-catalog library: load chart data, catalog tables or individual indicators as pandas DataFrames that carry their own units, descriptions, sources… | owid/ | 159 | — | ~2.3k | Automated safety check: Pass | MIT | today |
| 2 | Query the grapher MySQL database (local dev, a branch's staging server, or production via the public Datasette) and verify indicators and charts on a staging server. | owid/ | 159 | — | ~731 | Automated safety check: Pass | MIT | today |
| 3 | Sync upstream grapher schema changes (new chart types, config fields, enum values) into the ETL repo — vendored schema, multidim-schema, dataset-schema, and regenerated Python types. | owid/ | 159 | — | ~2.7k | Automated safety check: Pass | MIT | today |
| 4 | Create or edit a Grapher chart authored in ETL: a viz://chart step in etl/steps/viz/chart/, either a single chart (dimensions: [], one view) or a multidim (a chart with dropdown dimension selectors… | owid/ | 159 | — | ~6.3k | Automated safety check: Notes | MIT | today |
| 5 | Create a new snapshot (DVC file, plus a Python script only when one is needed) from a urlmain and optional urldownload. | owid/ | 159 | — | ~6.1k | Automated safety check: Pass | MIT | today |
