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Composites a basemap, data layer, colorbar, and timestamp into PNG frames, then encodes them to `index.m3u8`.\n\n## Requirements\n\nPython 3.11 or newer. `ffmpeg` must be on `PATH`:\n\n```sh\nbrew install ffmpeg        # macOS\napt-get install ffmpeg     # Debian/Ubuntu\n```\n\nInstall the package:\n\n```sh\npip install stac-timelapse\n```\n\n## Quick start\n\n**CLI:**\n\n```sh\nstac-timelapse \\\n  --collection no2-monthly \\\n  --start 2022-01-01 \\\n  --end 2022-12-31 \\\n  --bbox \"-74.3,40.4,-73.6,40.9\" \\\n  --assets cog_default \\\n  --colormap rdbu \\\n  --rescale \"0,75\" \\\n  --colorbar-label \"NO2 column\" \\\n  --title \"New York City NO2 2022\" \\\n  --out ./nyc-no2\n```\n\n**Python:**\n\n```python\nfrom stac_timelapse import Config, run\n\ncfg = Config(\n    use_cmr=True,\n    cmr_collection_concept_id=\"C2723754864-GES_DISC\",\n    cmr_variable=\"precipitation\",\n    cmr_date_frequency=\"daily\",\n    datetime_start=\"2024-06-01\",\n    datetime_end=\"2024-10-31\",\n    bbox=[-180.0, -70.0, 180.0, 75.0],\n    width=1920, height=960,\n    rescale=\"0,48\",\n    colormap_name=\"blues\",\n    cmr_dry_luminance_threshold=255.0,\n    basemap=True, basemap_style=\"boundaries\",\n    colorbar_label=\"Precipitation (mm/day)\",\n    title=\"GPM IMERG Global Jun-Oct 2024\",\n    output_dir=\"./gpm-global\",\n)\n\nplaylist = run(cfg)\nprint(playlist)\n```\n\n## S3 upload\n\nAdd `s3_bucket` to upload the HLS output to S3 after encoding:\n\n```python\ncfg = Config(\n    ...,\n    s3_bucket=\"my-bucket\",\n    s3_prefix=\"renders/my-job\",\n)\n```\n\nRequires `pip install stac-timelapse[aws]` and standard AWS credentials.\n\n## Docs\n\n```sh\nmkdocs serve\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdzole0311%2Fstac-timelapse","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdzole0311%2Fstac-timelapse","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdzole0311%2Fstac-timelapse/lists"}