weave
A toolkit for building composable interactive data driven applications.
Decision gist · record as of 2026-08-14
Yes, if you are actively developing or operating generative AI applications and want structured tracing without manual instrumentation. The low install friction, active maintenance, permissive license, and zero known vulnerabilities make it a safe choice. The requirement for a Weights & Biases account and Python 3.10+ are minor barriers; the 15 runtime dependencies are a consideration only if you have strict dependency budgets.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or higher and a Weights & Biases account (free tier available) to initialize and log traces.
- Low install friction with a pure-Python wheel.
- Active maintenance with a release 1 day old and 1116 repository stars.
License · maintenance · safety
permissive license (permissive) — Apache License 2.0 is permissive; you can use, modify, and distribute Weave freely in commercial and private projects provided you include license and attribution notices.
last release 2026-08-13 (1 days) · last repo commit 2026-08-14 · 1,116 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,007,512 downloads/mo, #4,523 on PyPI
Alternatives
Verify before relying
pip install weave
import weave
weave.init("my-project")
@weave.op
def my_function(x: int) -> int:
return x + 1
my_function(5)- Whether the 15 runtime dependencies (including opentelemetry, pydantic, sentry-sdk) add significant overhead or complexity to projects with strict dependency constraints.
- Performance characteristics and latency impact of tracing on function execution, especially for high-frequency or latency-sensitive workloads.
- Whether Weave's trace storage and retrieval scale well for long-running production applications generating high volumes of traces.
What it is and what it does
Weave is a tracing and evaluation framework for generative AI development built by Weights & Biases. It lets you decorate Python functions with @weave.op to automatically capture their inputs, outputs, and execution flow, creating a queryable trace tree. This is useful for debugging LLM pipelines, understanding how data flows through your application, and building systematic evaluations of model behavior. The toolkit integrates with OpenTelemetry for observability and requires a Weights & Biases account to store and visualize traces.
The package depends on 15 runtime libraries including pydantic for schema validation, opentelemetry for instrumentation, sentry-sdk for error tracking, and tenacity for retry logic. It is actively maintained, supports current Python versions (3.10+), and carries no known security vulnerabilities. The Apache 2.0 license permits commercial use with standard attribution requirements.
Use it for
- Instrument LLM API calls (OpenAI, Anthropic, etc.) and downstream processing to debug multi-step generative workflows.
- Build reproducible evaluations comparing model outputs across different prompts, parameters, or model versions.
- Log and organize experimental runs during development to track which configurations and data transformations produced which results.
- Monitor production LLM applications by capturing request traces and flagging anomalies or errors in real time.
- Validate data transformations and intermediate outputs in complex AI pipelines to catch silent failures early.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are actively developing or operating generative AI applications and want structured tracing without manual instrumentation.
The low install friction, active maintenance, permissive license, and zero known vulnerabilities make it a safe choice. The requirement for a Weights & Biases account and Python 3.10+ are minor barriers; the 15 runtime dependencies are a consideration only if you have strict dependency budgets.
Install
weave on PyPI
Before you install
Low install friction with a pure-Python wheel. Active maintenance with a release 1 day old and 1116 repository stars. Requires Python 3.10 or higher and a Weights & Biases account (free tier available) to function.
Requires Python 3.10 or higher and a Weights & Biases account (free tier available) to initialize and log traces.
License in practice
Apache License 2.0 is permissive; you can use, modify, and distribute Weave freely in commercial and private projects provided you include license and attribution notices.
Quickstart
pip install weave
import weave
weave.init("my-project")
@weave.op
def my_function(x: int) -> int:
return x + 1
my_function(5)Verify before relying
- Whether the 15 runtime dependencies (including opentelemetry, pydantic, sentry-sdk) add significant overhead or complexity to projects with strict dependency constraints.
- Performance characteristics and latency impact of tracing on function execution, especially for high-frequency or latency-sensitive workloads.
- Whether Weave's trace storage and retrieval scale well for long-running production applications generating high volumes of traces.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 15 packagescachetoolsclickdiskcache-weavegqljsonschemaopentelemetry-apiopentelemetry-exporter-otlp-proto-httpopentelemetry-sdkpackagingpolyfile-weavepydanticpyyamlsentry-sdktenacitytzdata |
| Maintenance | Actively maintained 1 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,007,512 / month, #4,523 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaEnvironment :: Web EnvironmentFramework :: FlaskFramework :: JupyterIntended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: PythonTopic :: Database :: Front-EndsTopic :: Office/Business :: Financial :: SpreadsheetTopic :: Scientific/Engineering :: Information AnalysisTopic :: Scientific/Engineering :: VisualizationTopic :: Software Development :: Libraries :: Application FrameworksTopic :: Software Development :: Widget Sets |
Evidence: weave-0.53.6-py3-none-any.whl
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See also mlflow-tracing · opentelemetry-instrumentation-google-generativeai · promptflow · traceloop-sdk · trulens · opik · aliyun-trace · opentelemetry-instrumentation-openai · opentelemetry-util-genai · hunter