hiq VS dd-trace-py

Compare hiq vs dd-trace-py and see what are their differences.

hiq

HiQ - Observability And Optimization In Modern AI Era (by oracle)
Python Observability Tracing Logging Monitoring
Source Code
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dd-trace-py

Datadog Python APM Client (by DataDog)
Datadog Tracing Profiling Apm Python error-monitoring Security CI Debugging Observability
Source Code
ddtrace.readthedocs.io
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hiq dd-trace-py
4 1
69 497
- 2.4%
6.0 9.9
4 months ago 2 days ago
Python Python
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
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.

hiq

Posts with mentions or reviews of hiq. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-09.
  • A lightweight way to profile Python Code non-intrusively
    1 project | /r/Python | 16 Apr 2022
  • HiQ – A Modern Observability System
    2 projects | news.ycombinator.com | 9 Apr 2022
    HiQ(https://github.com/oracle-samples/hiq) is a declarative, non-intrusive, dynamic and transparent tracking system for both monolithic application and distributed system. It brings the runtime information tracking and optimization to a new level without compromising with speed and system performance, or hiding any tracking overhead information. HiQ applies for both I/O bound and CPU bound applications. In addition to latency tracking, HiQ provides memory, disk I/O and Network I/O tracking out of the box. The output can be saved in form of normal line by line log file, or HiQ tree, or span graph.
  • HiQ - A Modern Observability System
    1 project | /r/Python | 9 Apr 2022
    HiQ(https://github.com/oracle-samples/hiq) is a declarative, non-intrusive, dynamic and transparent tracking system for both monolithic application and distributed system. It brings the runtime information tracking and optimization to a new level without compromising with speed and system performance, or hiding any tracking overhead information. HiQ applies for both I/O bound and CPU bound applications.

dd-trace-py

Posts with mentions or reviews of dd-trace-py. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-26.

What are some alternatives?

When comparing hiq and dd-trace-py you can also consider the following projects:

opentelemetry-collector-co

wtpython - Automatically find solutions when your Python code encounters an issue.

datadogpy - The Datadog Python library

opentelemetry-collector-contrib - Contrib repository for the OpenTelemetry Collector

whyslow - Developer-friendly performance profiling utility for Python

datadog-agent - Main repository for Datadog Agent

signoz - SigNoz is an open-source observability platform native to OpenTelemetry with logs, traces and metrics in a single application. An open-source alternative to DataDog, NewRelic, etc. 🔥 🖥. 👉 Open source Application Performance Monitoring (APM) & Observability tool

opentelemetry-collector-cont

apm-agent-dotnet - Elastic APM .NET Agent

opentelemetry-collector-contrib - Contrib repository for the OpenTelemetry Collector

dd-trace-py vs opentelemetry-collector-co dd-trace-py vs wtpython dd-trace-py vs datadogpy dd-trace-py vs opentelemetry-collector-contrib dd-trace-py vs whyslow dd-trace-py vs datadog-agent dd-trace-py vs signoz dd-trace-py vs opentelemetry-collector-cont dd-trace-py vs apm-agent-dotnet dd-trace-py vs opentelemetry-collector-contrib