massive
Official Massive (formerly Polygon.io) REST and Websocket client.
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has low install friction, carries no known vulnerabilities, and is MIT-licensed. Install it if you need programmatic access to Massive's market data APIs; the REST and WebSocket clients are straightforward to use and handle pagination and filtering for you. The main gotcha is that you must obtain an API key and be aware of free-tier rate limits.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or higher; API key from Massive.com dashboard required to authenticate requests.
- Low friction installation with three lightweight runtime dependencies (certifi, urllib3, websockets).
- Active maintenance with recent releases; last commit 2026-07-09 and 1496 repository stars indicate ongoing development and community engagement.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions—you may use, modify, and distribute the package freely provided you include the license notice.
last release 2026-05-26 (80 days) · last repo commit 2026-07-09 · 1,496 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 280,289 downloads/mo, #8,113 on PyPI
Alternatives
Verify before relying
pip install massive
from massive import RESTClient
client = RESTClient(api_key="<API_KEY>")
trades = [t for t in client.list_trades(ticker="AAPL", timestamp="2022-01-04")]- Rate limit behavior and free tier usage constraints beyond the general mention of 'usage limitations'.
- Exact pagination defaults and whether all list_* methods support the pagination parameter.
- WebSocket reconnection and error-handling guarantees under network disruption.
What it is and what it does
Massive is the official Python client for the Massive (formerly Polygon.io) market data platform, rebranded on October 30, 2025. It provides both REST and WebSocket interfaces to fetch stock trades, quotes, aggregated bars, and options chain data. The package wraps HTTP calls via urllib3 and WebSocket connections via websockets, handling authentication, pagination, and filtering transparently so you can focus on querying market data rather than managing API details.
The REST client supports automatic pagination by default, fetching all results across pages unless you disable it; it also exposes filter operators (.gt, .gte, .lt, .lte) for refining queries. The WebSocket client streams real-time tick data to a handler function you define. Both clients require an API key from Massive.com and support debug tracing to inspect requests and responses. The package targets Python 3.9 through 3.14 and is actively maintained, with the rebranding preserving backward compatibility so existing integrations continue to work.
Use it for
- Fetch historical OHLC bars and trade ticks for backtesting trading strategies or analyzing historical price patterns.
- Stream real-time trades and quotes via WebSocket for live market monitoring or algorithmic trading systems.
- Query options chains with strike price and expiration filters to analyze option pricing and volatility surfaces.
- Build financial dashboards that display last trade, last quote, and aggregate data for multiple tickers.
- Retrieve tick-level data for a specific date to audit fills or reconstruct intraday market microstructure.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has low install friction, carries no known vulnerabilities, and is MIT-licensed. Install it if you need programmatic access to Massive's market data APIs; the REST and WebSocket clients are straightforward to use and handle pagination and filtering for you. The main gotcha is that you must obtain an API key and be aware of free-tier rate limits.
Install
massive on PyPI
Before you install
Low friction installation with three lightweight runtime dependencies (certifi, urllib3, websockets). Active maintenance with recent releases; last commit 2026-07-09 and 1496 repository stars indicate ongoing development and community engagement.
Requires Python 3.9 or higher; API key from Massive.com dashboard required to authenticate requests.
License in practice
MIT license permits commercial and private use with minimal restrictions—you may use, modify, and distribute the package freely provided you include the license notice.
Quickstart
pip install massive
from massive import RESTClient
client = RESTClient(api_key="<API_KEY>")
trades = [t for t in client.list_trades(ticker="AAPL", timestamp="2022-01-04")]Verify before relying
- Rate limit behavior and free tier usage constraints beyond the general mention of 'usage limitations'.
- Exact pagination defaults and whether all list_* methods support the pagination parameter.
- WebSocket reconnection and error-handling guarantees under network disruption.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4.0,>=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagescertifiurllib3websockets |
| Maintenance | Actively maintained 80 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 280,289 / month, #8,113 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.9 |
Evidence: massive-2.8.0-py3-none-any.whl
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