oteps VS magic-trace

Compare oteps vs magic-trace and see what are their differences.

oteps

OpenTelemetry Enhancement Proposals (by open-telemetry)

magic-trace

magic-trace collects and displays high-resolution traces of what a process is doing (by janestreet)
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
oteps magic-trace
4 29
316 4,432
1.9% 1.1%
5.3 6.9
5 days ago about 2 months ago
Makefile OCaml
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

oteps

Posts with mentions or reviews of oteps. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-28.
  • OpenTelemetry in 2023
    36 projects | news.ycombinator.com | 28 Aug 2023
    Oh nice, thank you (and also solumos) for the links! It looks like oteps/pull/171 (merged June 2023) expanded and superseded the opentelemetry-proto/pull/346 PR (closed Jul 2022) [0]. The former resulted in merging OpenTelemetry Enhancement Proposal 156 [1], with some interesting results especially for 'Phase 2' where they implemented columnar storage end-to-end (see the Validation section [2]):

    * For univariate time series, OTel Arrow is 2 to 2.5 better in terms of bandwidth reduction ... and the end-to-end speed is 3.1 to 11.2 times faster

    * For multivariate time series, OTel Arrow is 3 to 7 times better in terms of bandwidth reduction ... Phase 2 has [not yet] been .. estimated but similar results are expected.

    * For logs, OTel Arrow is 1.6 to 2 times better in terms of bandwidth reduction ... and the end-to-end speed is 2.3 to 4.86 times faster

    * For traces, OTel Arrow is 1.7 to 2.8 times better in terms of bandwidth reduction ... and the end-to-end speed is 3.37 to 6.16 times faster

    [0]: https://github.com/open-telemetry/opentelemetry-proto/pull/3...

    [1]: https://github.com/open-telemetry/oteps/blob/main/text/0156-...

    [2]: https://github.com/open-telemetry/oteps/blob/main/text/0156-...

  • Grafana Phlare, open source database for continuous profiling at scale
    8 projects | news.ycombinator.com | 2 Nov 2022
    https://github.com/open-telemetry/oteps/issues/139

    It takes a lot of time and effort to bake a cross-vendor cross-language standard.

  • Faster Protocol Buffers
    5 projects | news.ycombinator.com | 14 Aug 2022
    This. The statelessness of the OTLP is by design. I did consider stateful designs with e.g. shared state dictionary compression but eventually chose not to, so that the intermediaries can remain stateless.

    An extension to OTLP that uses shared state (and columnar encoding) to achieve more compact representation and is suitable for the last network leg in the data delivery path has been proposed and may become a reality in the future: https://github.com/open-telemetry/oteps/pull/171

magic-trace

Posts with mentions or reviews of magic-trace. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-02.

What are some alternatives?

When comparing oteps and magic-trace you can also consider the following projects:

zipkin-api - Zipkin's language independent model and HTTP Api Definitions

viztracer - VizTracer is a low-overhead logging/debugging/profiling tool that can trace and visualize your python code execution.

b3-propagation - Repository that describes and sometimes implements B3 propagation

perspective - A data visualization and analytics component, especially well-suited for large and/or streaming datasets.

odigos - Distributed tracing without code changes. 🚀 Instantly monitor any application using OpenTelemetry and eBPF

perfetto - Frontend for magic-trace; forks https://ui.perfetto.dev

exp-lazyproto - Experimental fast implementation of Protobufs in Go

linux - Linux kernel source tree

community - OpenTelemetry community content

scalene - Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

terraform-aws-jaeger - Terraform module for Jeager

memray - Memray is a memory profiler for Python