logpai/loghub
logpai/loghub has 2,906 GitHub stars and 801 forks. GitHot measured 0 stars in 24 hours. Last checked 2026-11-07 19:14 UTC. Last push 2026-11-02.
A large collection of system log datasets for AI-driven log analytics [ISSRE'23]
Measured star growth
- in 24h
- 0
- in 7 days
- Update delayed
- in 15 days
- Update delayed
- in 1 month
- Update delayed
Net star changes over overlapping periods, not daily totals. Missing measurements are left blank. Stars measure attention, not software quality.
README.md
OriginalLoghub
Loghub maintains a collection of system logs, which are freely accessible for AI-driven log analytics research. Some of the logs are production data released from previous studies, while some others are collected from real systems in our lab environment. Wherever possible, the logs are NOT sanitized, anonymized or modified in any way. These log datasets are freely available for research or academic work.
🤗 We proudly announce that the loghub datasets have attained total by more than 450 organizations from both industry and academia.
Logs currently available
🔗 Get raw logs via hyperlinks in the Download column.
| Dataset | Description | Labeled | Time Span | #Lines | Raw Size | Download |
|---|---|---|---|---|---|---|
| :open_file_folder: Distributed systems | ||||||
| HDFS_v1 | Hadoop distributed file system log | :heavy_check_mark: | 38.7 hours | 11,175,629 | 1.47GiB | :link: |
| HDFS_v2 | Hadoop distributed file system log | N.A. | 71,118,073 | 16.06GiB | :link: | |
| HDFS_v3 | Instrumented HDFS trace log (TraceBench) | :heavy_check_mark: | N.A. | 14,778,079 | 2.96GiB | :link: |
| Hadoop | Hadoop mapreduce job log | :heavy_check_mark: (Check #56) | N.A. | 394,308 | 48.61MiB | :link: |
| Spark | Spark job log | N.A. | 33,236,604 | 2.75GiB | :link: | |
| Zookeeper | ZooKeeper service log | 26.7 days | 74,380 | 9.95MiB | :link: | |
| OpenStack | OpenStack infrastructure log | :heavy_check_mark: | N.A. | 207,820 | 58.61MiB | :link: |
| :open_file_folder: Super computers | ||||||
| BGL | Blue Gene/L supercomputer log | :heavy_check_mark: | 214.7 days | 4,747,963 | 708.76MiB | :link: |
| HPC | High performance cluster log | N.A. | 433,489 | 32.00MiB | :link: | |
| Thunderbird | Thunderbird supercomputer log | :heavy_check_mark: | 244 days | 211,212,192 | 29.60GiB | :link: |
| :open_file_folder: Operating systems | ||||||
| Windows | Windows event log | 226.7 days | 114,608,388 | 26.09GiB | :link: | |
| Linux | Linux system log | 263.9 days | 25,567 | 2.25MiB | :link: | |
| Mac | Mac OS log | 7.0 days | 117,283 | 16.09MiB | :link: | |
| :open_file_folder: Mobile systems | ||||||
| Android_v1 | Android framework log | N.A. | 1,555,005 | 183.37MiB | :link: | |
| Android_v2 | Android framework log | N.A. | 30,348,042 | 3.38GiB | :link: | |
| HealthApp | Health app log | 10.5 days | 253,395 | 22.44MiB | :link: | |
| :open_file_folder: Server applications | ||||||
| Apache | Apache web server error log | 263.9 days | 56,481 | 4.90MiB | :link: | |
| OpenSSH | OpenSSH server log | 28.4 days | 655,146 | 70.02MiB | :link: | |
| :open_file_folder: Standalone software | ||||||
| Proxifier | Proxifier software log | N.A. | 21,329 | 2.42MiB | :link: |
🔥 Citation
Please cite the following two papers if you use the loghub datasets in your research.
- Loghub: Jieming Zhu, Shilin He, Pinjia He, Jinyang Liu, Michael R. Lyu. Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics. IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023.
- Loghub-2.0: Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Jieming Zhu, Michael R. Lyu. A Large-scale Evaluation for Log Parsing Techniques: How Far are We?. ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024.
🌈 License
The datasets are freely available for research or academic work. For any usage or distribution of the datasets, please refer to the loghub repository URL https://github.com/logpai/loghub and cite the loghub paper where applicable.
🙋 Discussion
Welcome to open a discussion here for any question and discussion.
Explore related projects
Asabeneh/30-Days-Of-Python
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
78,370 starsgrafana/grafana
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
77,752 starsredis/redis
For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
77,288 starsapache/superset
Apache Superset is a Data Visualization and Data Exploration Platform
75,448 stars