The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more β
Top 4 Go Throughput Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
A guide covering how to write custom handlers is out of scope for this post, but you can find one such guide written by the author of slog here. Thankfully, you donβt need to write a handler from scratch to use one. There are several community-contributed handlers, including handlers that allow you to output colored logs, and a handler that lets you implement sampling. You can find a full list here.
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
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A note from our sponsor - WorkOS
workos.com | 26 Apr 2024
Index
What are some of the best open-source Throughput projects in Go? This list will help you:
Project | Stars | |
---|---|---|
1 | dgraph | 20,059 |
2 | rosedb | 4,345 |
3 | hperf | 38 |
4 | slog-sampling | 37 |
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