Frequently Asked Questions

A curated summary of the top questions asked on our Slack community, often relating to implementation, functionality, and building better products generally.
Statsig FAQs

How to resolve a continuous network error in Statsig 0.23.0 in a Python 3.9 environment?

If you're experiencing a continuous network error while running Statsig 0.23.0 in a Python 3.9 environment, it's important to first understand the environment in which you're running the Statsig SDK and the version you're using.

If the error is occurring locally and continuously, the Statsig SDK will keep retrying and returning the same error. To debug this, you can send a curl command to our events API from your local environment. Here's an example of how to do this:

bash curl  -X POST \  '' \  --header 'statsig-api-key: <YOUR SDK KEY>' \  --header 'Content-Type: application/json' \  --data-raw '{"events": [{"user": { "userID": "1" }, "time": 1667512336, "eventName": "test_event"}]}'

This command sends a test event to the Statsig events API. If this command works, it means your local environment can successfully send requests to the Statsig API. If it doesn't, you may need to check your local network settings, such as DNS or ad-blockers, which could be blocking requests to the API.

Remember, the Statsig SDK is designed to retry sending events if errors are encountered. If you're still experiencing issues after trying the above steps, please provide more details about your environment and the error you're encountering for further assistance.

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OpenAI OpenAI
Brex Brex
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At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities.
Dave Cummings
Engineering Manager, ChatGPT
Brex's mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly.
Karandeep Anand
At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
Mengying Li
Data Science Manager
We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
Don Browning
SVP, Data & Platform Engineering
We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
Partha Sarathi
Director of Engineering
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