bse-index-data

BSE India market data as pandas DataFrames.
SENSEX, BSE500, BANKEX and 50+ indices — historical OHLC + live quotes.
Works on AWS Lambda and any cloud environment.

pip install bse-index-data

Part of the indian-market-data monorepo.

Quick Start

from bsedata import bse

# Historical SENSEX OHLC
df = bse.get_index("SENSEX", "2026-01-01", "2026-05-22")

# Historical BSE500
df = bse.get_index("BSE500", "2026-01-01", "2026-05-22")

# All 120+ indices for one date (single API call)
df = bse.get_all_indices("2026-05-22")

# Live SENSEX quote
df = bse.get_live_sensex()

# Download to S3 (Lambda with IAM role)
bse.download_index("SENSEX", "2026-01-01", "2026-05-22",
                   s3_bucket="my-bucket", s3_prefix="raw/bse/")

# List all 55 supported indices
bse.list_indices()
bse.list_indices(category="Sectoral")

Supported Indices (55)

CLI

bse-index-data list
bse-index-data list --category Sectoral
bse-index-data index --name SENSEX --from 2026-01-01 --to 2026-05-22
bse-index-data all-indices --date 2026-05-22
bse-index-data live

Polars output (optional)

By default every function returns a pandas DataFrame. To get polars DataFrames instead, install the extra and set one environment variable before importing — no code changes needed:

pip install bse-index-data[polars]

import os
os.environ["IMD_DATAFRAME"] = "polars"   # set before importing bsedata

from bsedata import bse
df = bse.get_index("SENSEX", "2026-01-01", "2026-05-22")
type(df)   # polars.DataFrame

All internal logic stays in pandas; conversion happens only at the final return step. Leave IMD_DATAFRAME unset (or =pandas) for the default pandas output.

License

MIT — data from BSE India.