rapidata
Rapidata package containing the Rapidata Python Client to interact with the Rapidata Web API in an easy way.
Decision gist · record as of 2026-08-14
Yes, if you need to call the Rapidata API from Python. The package is actively maintained, has low install friction, carries no known vulnerabilities, and is licensed permissively. The large dependency tree is typical for a full-featured API client and should not be a concern unless your environment is severely constrained. Verify the API endpoints and authentication flow match your use case before committing.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later (supports current versions, <4).
- Low install friction with a pure-Python wheel distribution.
- Active maintenance as of the latest release date.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing use in commercial and proprietary projects with minimal restrictions beyond attribution.
last release 2026-08-14 (0 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 386,016 downloads/mo, #7,055 on PyPI
Alternatives
Verify before relying
pip install rapidata
import rapidata
# Initialize client and call API methods as documented at https://docs.rapidata.ai/- Specific API endpoints and authentication methods supported by this version.
- Whether the 18 runtime dependencies are all required or if some are optional.
- Real-world performance characteristics and rate-limit handling.
- Whether observability (opentelemetry) integration is automatic or opt-in.
What it is and what it does
Rapidata is a Python client library that wraps the Rapidata Web API, allowing developers to programmatically interact with Rapidata's data services. It abstracts HTTP communication, authentication, and response parsing behind a Python-friendly interface, reducing boilerplate when integrating Rapidata into applications or data pipelines.
The package brings in a substantial dependency tree—18 runtime packages including httpx, requests, pydantic for validation, pandas for data handling, and opentelemetry for observability. This suggests the client handles both HTTP transport flexibility, structured data validation, and optional tracing. It is actively maintained and carries no known security vulnerabilities.
Use it for
- Fetch data from Rapidata services within a Python application or notebook without writing raw HTTP requests.
- Build data pipelines that pull Rapidata results into pandas DataFrames for analysis or export.
- Integrate Rapidata API calls into automated workflows with built-in request retry and error handling.
- Add observability to Rapidata API interactions via opentelemetry instrumentation.
- Authenticate to Rapidata using authlib and pyjwt support built into the client.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to call the Rapidata API from Python.
The package is actively maintained, has low install friction, carries no known vulnerabilities, and is licensed permissively. The large dependency tree is typical for a full-featured API client and should not be a concern unless your environment is severely constrained. Verify the API endpoints and authentication flow match your use case before committing.
Install
rapidata on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Active maintenance as of the latest release date. Depends on 18 runtime packages including httpx, requests, pydantic, and observability tools (opentelemetry), which are all widely maintained.
Requires Python 3.10 or later (supports current versions, <4).
License in practice
Licensed under Apache-2.0 (permissive), allowing use in commercial and proprietary projects with minimal restrictions beyond attribution.
Quickstart
pip install rapidata
import rapidata
# Initialize client and call API methods as documented at https://docs.rapidata.ai/Verify before relying
- Specific API endpoints and authentication methods supported by this version.
- Whether the 18 runtime dependencies are all required or if some are optional.
- Real-world performance characteristics and rate-limit handling.
- Whether observability (opentelemetry) integration is automatic or opt-in.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release <4,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 18 packagesauthlibcoloramadeprecateddiskcachehatchlinghttpxopentelemetry-apiopentelemetry-exporter-otlpopentelemetry-sdkpackagingpandaspydanticpyjwtpython-dateutilqrcoderequeststinytagtqdm |
| Maintenance | Actively maintained 0 days since the last release |
| First released | |
| Downloads | 386,016 / month, #7,055 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: rapidata-3.19.4-py3-none-any.whl
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