bxcodec/go-simple-flatbuffer — explained in plain English
Analysis updated 2026-07-18 · repo last pushed 2017-06-09
Benchmark Flatbuffers against JSON in a Go HTTP service to measure speed differences
Reduce data translation lag in a mobile app pulling large datasets from a server
Compare serialization and deserialization performance to choose the best data format
Use the test setup as a starting point to explore faster data exchange patterns in Go
| bxcodec/go-simple-flatbuffer | aeneasr/github-trends | coocood/geodns | |
|---|---|---|---|
| Stars | 4 | 4 | 4 |
| Language | Go | Go | Go |
| Last pushed | 2017-06-09 | 2020-12-18 | 2018-10-30 |
| Maintenance | Dormant | Dormant | Dormant |
| Setup difficulty | easy | easy | hard |
| Complexity | 2/5 | 2/5 | 4/5 |
| Audience | developer | pm founder | ops devops |
Figures from each repo's GitHub metadata at analysis time.
Sparse documentation means you may need to refer to the linked blog post for context beyond basic test commands.
Go-Simple-Flatbuffer is an experimental project exploring how to make data exchange between systems faster and more efficient. The core idea is to speed up how applications send and receive information, particularly when that data travels over the web through standard HTTP requests. At a high level, the project tests a data format called "Flatbuffers," which is an alternative to common formats like JSON. While traditional formats require an application to read and translate an entire chunk of data before it can be used, this approach allows the receiving system to access specific pieces of information directly without doing that full translation step. This project builds a basic setup to see how much faster this method is in practice. The primary audience for this repository is developers who work with the Go programming language and are looking to optimize their applications. For example, if a company has a mobile app that constantly pulls large amounts of data from a server, the time and computing power spent translating that data can slow things down. A developer might use the concepts here to reduce that lag, making their app feel snappier while using less memory on the user's device. The repository is set up as a practical test rather than a finished product, providing tools to measure and compare performance. It includes automated tests to benchmark the time it takes to send data over HTTP, as well as tests to measure how quickly the data can be serialized and deserialized, the process of packaging data to send it and unpacking it once it arrives. Beyond the basic setup instructions and testing commands, the documentation is very sparse. It does not go into detail about the specific results of the benchmarks or provide a step-by-step guide for integrating the approach into a larger application. The creator links to an external blog post, suggesting the code serves as a companion piece to a broader written explanation about the research.
An experimental Go project that benchmarks Flatbuffers against JSON for faster data exchange over HTTP. It measures serialization and deserialization speeds to show how skipping full data translation can improve app performance.
Mainly Go. The stack also includes Go, Flatbuffers, HTTP.
Dormant — no commits in 2+ years (last push 2017-06-09).
The repository does not include license information, so usage rights are unclear.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.