Documentation

InfluxDB client libraries

InfluxDB client libraries are language-specific packages that integrate with InfluxDB APIs and support InfluxDB 1.8+ and InfluxDB 2.x.

Client libraries for InfluxDB 1.7 and earlier may continue to work, but aren’t maintained by InfluxData.

Client libraries for InfluxDB 2.x and 1.8+

InfluxDB 2.x client libraries use InfluxDB /api/v2 endpoints and work with InfluxDB 2.0 API compatibility endpoints. Functionality varies among client libraries. For specifics about a client library, see the library’s GitHub repository.

Arduino

C#

C++

Go

Java

JavaScript

PHP

Python

Ruby

Install and use a client library

To install and use the Python client library, follow the instructions below. To install and use other client libraries, refer to the client library documentation for detail.

Install and use the Python client library

  1. Install the Python client library.

    pip install influxdb-client
  2. Ensure that InfluxDB is running. If running InfluxDB locally, visit http://localhost:8086. (If using InfluxDB Cloud, visit the URL of your InfluxDB Cloud UI.)

  3. In your program, import the client library and use it to write data to InfluxDB. For example:

    import influxdb_client
    from influxdb_client.client.write_api import SYNCHRONOUS
  4. Define your database and token variables, and create a client and writer object. The InfluxDBClient object takes 2 parameters: url and token

    database = "<my-db>"
    token = "<my-token>"
    client = influxdb_client.InfluxDBClient(url="http://localhost:8086",token=token)

    Note: The database (and retention policy, if applicable) are converted to a bucket data store compatible with InfluxDB 2.0.

  5. Instantiate a writer object using the client object and the write_api method. Use the write_api method to configure the writer object.

    client = influxdb_client.InfluxDBClient(url=url, token=token)
    write_api = client.write_api(write_options=SYNCHRONOUS)
  6. Create a point object and write it to InfluxDB using the write method of the API writer object. The write method requires three parameters: database, (optional) retention policy, and record.

    p = influxdb_client.Point("my_measurement").tag("location", "Prague").field("temperature", 25.3)
    write_api.write(database:rp, record=p)

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InfluxDB 3.9: Performance upgrade preview

InfluxDB 3 Enterprise 3.9 includes a beta of major performance upgrades with faster single-series queries, wide-and-sparse table support, and more.

InfluxDB 3 Enterprise 3.9 includes a beta of major performance and feature updates.

Key improvements:

  • Faster single-series queries
  • Consistent resource usage
  • Wide-and-sparse table support
  • Automatic distinct value caches for reduced latency with metadata queries

Preview features are subject to breaking changes.

For more information, see:

Telegraf Enterprise now in public beta

Get early access to the Telegraf Controller and provide feedback to help shape the future of Telegraf Enterprise.

See the Blog Post

The upcoming Telegraf Enterprise offering is for organizations running Telegraf at scale and is comprised of two key components:

  • Telegraf Controller: A control plane (UI + API) that centralizes Telegraf configuration management and agent health visibility.
  • Telegraf Enterprise Support: Official support for Telegraf Controller and Telegraf plugins.

Join the Telegraf Enterprise beta to get early access to the Telegraf Controller and provide feedback to help shape the future of Telegraf Enterprise.

For more information:

Telegraf Controller v0.0.6-beta now available

Telegraf Controller v0.0.6-beta is now available with new features, improvements, and bug fixes.

View the release notes
Download Telegraf Controller v0.0.6-beta

InfluxDB Docker latest tag changing to InfluxDB 3 Core

On May 27, 2026, the latest tag for InfluxDB Docker images will point to InfluxDB 3 Core. To avoid unexpected upgrades, use specific version tags in your Docker deployments.

If using Docker to install and run InfluxDB, the latest tag will point to InfluxDB 3 Core. To avoid unexpected upgrades, use specific version tags in your Docker deployments. For example, if using Docker to run InfluxDB v2, replace the latest version tag with a specific version tag in your Docker pull command–for example:

docker pull influxdb:2