google/pprof
pprof is a tool for visualization and analysis of profiling data
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
The project lists 131 contributors on GitHub.
Use Cases & Benefits
- Visualizes and analyzes profiling data from performance samples using text and graphical reports.
- Supports multiple input sources and formats, including local files, HTTP, and Linux perf data, enabling flexible profiling workflows.
- Use for identifying performance bottlenecks in Go applications by analyzing CPU and memory profiles.
- Use for generating interactive web-based visualizations of profiling data to facilitate collaborative performance debugging.
- Use for aggregating and comparing multiple profiling samples to track performance changes over time or across versions.
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 GitHub releases; pin a commit or tag instead of a release.
General guidance from repository metadata, not legal advice. How we score
From the README
pprof is a tool for visualization and analysis of profiling data.
pprof reads a collection of profiling samples in profile.proto format and generates reports to visualize and help analyze the data. It can generate both text and graphical reports (through the use of the dot visualization package).
profile.proto is a protocol buffer that describes a set of callstacks and symbolization information. A common usage is to represent a set of sampled callstacks from statistical profiling. The format is described on the proto/profile.proto file. For details on protocol buffers, see https://developers.google.com/protocol-buffers
Profiles can be read from a local file, or over http. Multiple profiles of the same type can be aggregated or compared.
If the profile samples contain machine addresses, pprof can symbolize them through the use of the native binutils tools (addr2line and nm).
This is not an official Google product.
The binary will be installed
$GOPATH/bin($HOME/go/binby default).pprof can read a profile from a file or directly from a server via http. Specify the profile input(s) in the command line, and use options to indicate how to format the report.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
686+21
Open issues
64+4
Compared with peers in Analytics
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| TwiN/gatus | 12.7K | +210 | 64 | 12 days ago |
| algorithm-visualizer/algorithm-visualizer | 49.5K | +74 | 75 | — |
| sinaptik-ai/pandas-ai | 23.9K | — | 40 | 391 days ago |
| cube-js/cube | 21.1K | — | 65 | 1 day ago |
| primefaces/primeng | 12.5K | — | 52 | 58 days ago |
| google/pprof | 9.3K | — | 45 | — |
| Category median | 21.1K | +142 | 64 | — |
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