barectf
Generator of ANSI C tracers which output CTF data streams
Decision gist · record as of 2026-08-14
Yes, if you need to generate C tracers for embedded, bare-metal, or performance-critical systems. The package is mature, actively maintained, has no known vulnerabilities, and installs with low friction. It is not useful for general application tracing or if you need a pre-built tracer rather than a code generator.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.6.2 or later.
- Testing requires a little-endian architecture, C compiler, GNU Make, and tox; generation itself has no such constraints.
- Low friction: pure Python wheel with five common dependencies (termcolor, pyyaml, jsonschema, setuptools, jinja2).
License · maintenance · safety
MIT (permissive) — MIT license (permissive): you may use, modify, and distribute barectf and code it generates with minimal restrictions, making it suitable for both open-source and proprietary projects.
last release 2023-05-17 (1185 days) · last repo commit 2026-04-02 · 80 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 102,255 downloads/mo, #12,879 on PyPI
Alternatives
Verify before relying
pip install barectf
barectf generate --help- Whether the generated C tracer code requires external CTF libraries or runtime dependencies beyond the generated output itself.
- Performance overhead and typical use cases for the generated tracers on actual embedded or bare-metal targets.
What it is and what it does
barectf is a code generator that takes a configuration (typically in YAML) and produces ANSI C tracer implementations that emit events in the Common Trace Format (CTF), a standardized format for low-level system and performance tracing. It bridges the gap between high-level trace specifications and bare-metal or embedded systems where traditional profiling tools may not be available or practical. The generated C code can be compiled and linked into your application to capture events at runtime, producing CTF data streams that can later be analyzed with tools that understand the CTF format.
The package is built on common Python dependencies—jinja2 for code generation, pyyaml for configuration parsing, jsonschema for validation—and is designed for developers working on embedded systems, kernel-level code, or performance-critical applications where fine-grained tracing is essential. It has been actively maintained since 2014 and supports modern Python versions (3.7 through 3.11).
Use it for
- Generate custom C tracers for embedded systems or bare-metal firmware that need to emit structured trace events.
- Create low-overhead event logging for real-time systems where traditional profilers are too intrusive.
- Define and generate tracer code from a YAML specification to standardize tracing across multiple projects.
- Produce CTF-compatible trace data for post-mortem analysis with tools that consume the Common Trace Format.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to generate C tracers for embedded, bare-metal, or performance-critical systems.
The package is mature, actively maintained, has no known vulnerabilities, and installs with low friction. It is not useful for general application tracing or if you need a pre-built tracer rather than a code generator.
Install
barectf on PyPI
Before you install
Low friction: pure Python wheel with five common dependencies (termcolor, pyyaml, jsonschema, setuptools, jinja2). Actively maintained; last commit 2026-04-02, mature status since 2014.
Requires Python 3.6.2 or later. Testing requires a little-endian architecture, C compiler, GNU Make, and tox; generation itself has no such constraints.
License in practice
MIT license (permissive): you may use, modify, and distribute barectf and code it generates with minimal restrictions, making it suitable for both open-source and proprietary projects.
Quickstart
pip install barectf
barectf generate --helpVerify before relying
- Whether the generated C tracer code requires external CTF libraries or runtime dependencies beyond the generated output itself.
- Performance overhead and typical use cases for the generated tracers on actual embedded or bare-metal targets.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.6.2,<4 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagestermcolorpyyamljsonschemasetuptoolsjinja2 |
| Maintenance | Actively maintained 1,185 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 102,255 / month, #12,879 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 6 - MatureEnvironment :: ConsoleIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseNatural Language :: EnglishOperating System :: OS IndependentProgramming Language :: CProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: Code Generators |
Evidence: barectf-3.1.2-py3-none-any.whl
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