go-bench-stream
🌊 Go Benchmarks for Stream Processing (by nikolaydubina)
go-ml-benchmarks
⏱ Benchmarks of machine learning inference for Go (by nikolaydubina)
| go-bench-stream | go-ml-benchmarks | |
|---|---|---|
| 2 | 5 | |
| 2 | 30 | |
| - | - | |
| 0.0 | 2.7 | |
| almost 2 years ago | 5 days ago | |
| Go | Go | |
| MIT License | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
go-bench-stream
Posts with mentions or reviews of go-bench-stream.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-25.
-
Question on Stream Processing patterns in Go
Check the diagram if you are interested what I meant on Iterators! (basically transforming Read([]byte) calls into Next() MyType calls https://github.com/nikolaydubina/go-bench-stream
go-ml-benchmarks
Posts with mentions or reviews of go-ml-benchmarks.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-05.
-
Machine learning with GOlang
Tabular data is well supported in Go. Tabular data and small sample sizes is a sweet spot for Go. You may squeze in some meaningful performance and good looking code and integrations. Some entry points: (1) https://github.com/nikolaydubina/go-ml-benchmarks (2) https://github.com/dmitryikh/leaves (3) https://github.com/nikolaydubina/go-featureprocessing
- Show HN: Benchmarking Machine Learning Inference in Go
- Benchmarking machine learning inference latency in Go and Python
- [P] Benchmarking machine learning inference latency from Go to Python
- Benchmarking machine learning inference in Go
What are some alternatives?
When comparing go-bench-stream and go-ml-benchmarks you can also consider the following projects:
Benthos - Fancy stream processing made operationally mundane
leaves - pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
compare-go-json - A comparison of several go JSON packages.
tflite-golang-gan-example
tabc - Time-Aware Bytestream Consolidator for Go
openmodelz - One-click machine learning deployment (LLM, text-to-image and so on) at scale on any cluster (GCP, AWS, Lambda labs, your home lab, or even a single machine).
fpmoney - 🧧 Fixed-Point Decimal Money
llama2.go - LLaMA-2 in native Go
watermill - Building event-driven applications the easy way in Go.