juicedata/juicefs
JuiceFS is a distributed POSIX file system built on top of Redis and S3.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
Ranks #2 among Cloud repositories ranked this week, and #3 over the last 30 days; #154 of 182 repositories with measured growth this week (top 85%).
This week's +105 stars is ahead of its 30-day pace of about +39 per week.
2 releases in the last 90 days, the latest 14 days ago, with 204 contributors on GitHub.
Use Cases & Benefits
- Implements a distributed POSIX-compliant file system using Redis for metadata and S3-compatible object storage for data persistence.
- Delivers high throughput and low latency cloud-native storage with strong consistency and seamless integration into existing POSIX and Hadoop workflows.
- Use for enabling scalable, shared file storage across thousands of clients in big data and AI production environments without code changes.
- Use for mounting cloud object storage as a local file system on Kubernetes clusters via its CSI driver for containerized workloads.
- Use for integrating with Hadoop ecosystems through its Hadoop Java SDK to leverage cloud storage with full Hadoop compatibility.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
JuiceFS is a high-performance POSIX file system released under Apache License 2.0, particularly designed for the cloud-native environment. The data, stored via JuiceFS, will be persisted in Object Storage (e.g. Amazon S3), and the corresponding metadata can be persisted in various compatible database engines such as Redis, MySQL, and TiKV based on the scenarios and requirements.
With JuiceFS, massive cloud storage can be directly connected to big data, machine learning, artificial intelligence, and various application platforms in production environments. Without modifying code, the massive cloud storage can be used as efficiently as local storage.
JuiceFS can store the metadata of file system on different metadata engines, like Redis, which is a fast, open-source, in-memory key-value data storage, particularly suitable for storing metadata; meanwhile, all the data will be stored in Object Storage through JuiceFS client. Learn more
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+388 stars over 87 days across 9 snapshot days; best day +2 on Aug 15.
Forks
1.3K+75
Open issues
243+61
Compared with peers in Cloud
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| Asymptote-Labs/agent-beacon | 3.3K | +360 | 40 | today |
| juicedata/juicefs | 14.7K | +105 | 64 | 14 days ago |
| GoogleCloudPlatform/microservices-demo | 21.1K | — | 63 | 38 days ago |
| quarkusio/quarkus | 16.0K | — | 60 | 2 days ago |
| awslabs/mcp | 9.8K | — | 65 | 9 days ago |
| PeerDB-io/peerdb | 3.3K | — | 60 | 1 day ago |
| Category median | 9.8K | — | 60 | — |
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