influxdb3-python
Community Python client for InfluxDB 3.0
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. It is well-suited for any Python application that needs to write to or query InfluxDB 3.0. The main consideration is that pandas is optional; install it separately if you need DataFrame conversion or file import features.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or above; pandas is optional but needed for to_pandas() and write_file() methods.
- Low install friction with five runtime dependencies including pyarrow, reactivex, certifi, python_dateutil, and urllib3.
- Actively maintained with recent commits; last release 64 days ago.
License · maintenance · safety
permissive license (permissive) — MIT-licensed under permissive terms, allowing commercial and private use with minimal restrictions.
last release 2026-06-11 (64 days) · last repo commit 2026-08-14 · 102 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 3,845,474 downloads/mo, #2,481 on PyPI
Alternatives
Verify before relying
pip install influxdb3-python
from influxdb_client_3 import InfluxDBClient3, Point
client = InfluxDBClient3(token="your-token", host="your-host", database="your-database")
point = Point("measurement").tag("location", "london").field("temperature", 42)
client.write(point)- Performance characteristics and throughput limits for write and query operations
- Exact behavior and error handling for partial writes with the V3 API endpoint
- Whether the CLI tool is production-ready or experimental
What it is and what it does
influxdb3-python is a Python client library for InfluxDB 3.0 that handles both writing time-series data and querying it using SQL or InfluxQL. It abstracts the Flight client protocol and provides a high-level API for common operations: you can write individual points, raw line protocol, entire DataFrames (pandas or polars), or bulk data from CSV/JSON/Parquet files. The library also includes a CLI tool for query workflows.
The package depends on pyarrow, reactivex, certifi, python_dateutil, and urllib3. It is actively maintained, supports modern Python versions (3.9–3.14), and carries no known vulnerabilities. Pandas is optional but recommended for advanced features like DataFrame conversion and file writing. Configuration can be driven by environment variables or constructor arguments, with sensible defaults for local development.
Use it for
- Write sensor or application metrics to InfluxDB from Python applications in real time.
- Bulk-load historical time-series data from CSV or Parquet files into InfluxDB.
- Query InfluxDB using SQL or InfluxQL and convert results to pandas DataFrames for analysis.
- Build data pipelines that read from external sources and write to InfluxDB with batching and retry logic.
- Use the CLI tool to run ad-hoc queries against InfluxDB from shell scripts or automation workflows.
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. It is well-suited for any Python application that needs to write to or query InfluxDB 3.0. The main consideration is that pandas is optional; install it separately if you need DataFrame conversion or file import features.
Install
influxdb3-python on PyPI
Before you install
Low install friction with five runtime dependencies including pyarrow, reactivex, certifi, python_dateutil, and urllib3. Actively maintained with recent commits; last release 64 days ago. Supports Python 3.9 through 3.14.
Requires Python 3.9 or above; pandas is optional but needed for to_pandas() and write_file() methods.
License in practice
MIT-licensed under permissive terms, allowing commercial and private use with minimal restrictions.
Quickstart
pip install influxdb3-python
from influxdb_client_3 import InfluxDBClient3, Point
client = InfluxDBClient3(token="your-token", host="your-host", database="your-database")
point = Point("measurement").tag("location", "london").field("temperature", 42)
client.write(point)Verify before relying
- Performance characteristics and throughput limits for write and query operations
- Exact behavior and error handling for partial writes with the V3 API endpoint
- Whether the CLI tool is production-ready or experimental
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesreactivexcertifipython_dateutilurllib3pyarrow |
| Maintenance | Actively maintained 64 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 3,845,474 / month, #2,481 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming 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: influxdb3_python-0.20.0-py3-none-any.whl
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See also influxdb-client · questdb · line-protocol-parser · apache-airflow-providers-influxdb · influxdb · civis · types-influxdb-client · statshog · PyAthena · seeq-spy