Machine Learning · head to head
Orange vs Traceloop

Traceloop
Logging
LLM reliability platform with open-source observability and evaluation
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Orange orange is licensed under the GNU General Public License version 3, so distributing modified or derived software requires releasing the source under the GPL; Traceloop free tier limited to 50k spans per month and 24-hour retention, restricting production use
- They diverge on capability: Orange covers Visual programming, Traceloop covers Open-source SDK (OpenLLMetry).
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Orange and Traceloop actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Orange
- Visual programming
- Data visualization
- Machine learning
- Text mining
- Bioinformatics
- Python
- scikit-learn
- PyQt
Only in Traceloop
- Open-source SDK (OpenLLMetry)
- Multi-provider support
- Observability platform integration
- Framework support
- Monitoring dashboard
- Evaluation system
- Deployment flexibility
What people use each for
The jobs each tool is most often brought in to do.
Orange
- Visual programming for data mining and machine learning workflowsnot Traceloop
- Teaching data science without writing codenot Traceloop
- Exploratory data visualisation and clustering on tabular datanot Traceloop
Traceloop
- Monitoring LLM application performance in productionnot Orange
- Instrumenting LLM apps with minimal code overheadnot Orange
- Continuous evaluation and quality scoring of LLM outputsnot Orange
- Debugging LLM application issues with full trace visibilitynot Orange
- Integrating observability data into existing monitoring stacksnot Orange
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Orange
- Orange is licensed under the GNU General Public License version 3, so distributing modified or derived software requires releasing the source under the GPL
- The widgets and canvas are built on Qt, which is itself distributed under GPL 3.0
- Orange add-ons may carry additional licensing requirements set in their own licence files
- Documentation and website content are under Creative Commons Attribution-ShareAlike, which imposes an attribution and share-alike obligation on reuse
- The software is distributed without any warranty of merchantability or fitness for a particular purpose
Traceloop
- Free tier limited to 50k spans per month and 24-hour retention, restricting production use
- Company acquisition by ServiceNow creates uncertainty about future roadmap
- Requires integration with separate observability platforms for visualization
- Less feature-rich than dedicated LLM evaluation platforms
Pricing, plan by plan
Orange
Free- Open SourceFree
- Visual programming
- Machine learning
- Data visualization
Traceloop
Free- FreeFree
- 50,000 spans per month
- Up to 5 seats
- 24-hour data retention
- Enterprise$undefined/custom
- Unlimited spans per month
- Unlimited seats
- Custom data retention
Which should you pick?
Choose Orange if
- You need visual programming.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want data visualization.
Choose Traceloop if
- You need open-source sdk (openllmetry).
- You want to start without paying.
- You work on Cloud, On-premises, Air-gapped, Python, TypeScript, Go, Ruby.
- You also want multi-provider support.
Questions people ask
- Is Orange or Traceloop better?
- Neither clearly leads. Orange starts at Free and Traceloop at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Orange or Traceloop?
- Orange starts at Free and Traceloop at Free.
- Does Orange or Traceloop run on more platforms?
- Orange runs on Linux, Mac, Windows. Traceloop runs on Cloud, On-premises, Air-gapped, Python, TypeScript, Go, Ruby.
- Can I use Orange for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Orange best used for?
- Orange is most often used for visual programming for data mining and machine learning workflows, teaching data science without writing code, exploratory data visualisation and clustering on tabular data. Of those, visual programming for data mining and machine learning workflows and teaching data science without writing code are not what Traceloop is typically brought in for.
- What can Orange do that Traceloop cannot?
- Orange covers Visual programming, Data visualization, Machine learning, Text mining. Traceloop covers Open-source SDK (OpenLLMetry), Multi-provider support, Observability platform integration, Framework support.
Answered from the vendors’ own pages
Orange: What is the cost of Orange Data Mining?
Orange Data Mining is free open-source software available for Windows, Mac, and other platforms. There are no subscription fees, licensing costs, or paid tiers.
SourceTraceloop: Is OpenLLMetry open-source?
Yes, OpenLLMetry is Traceloop's open-source SDK built on OpenTelemetry standards. It allows teams to instrument LLM applications with just 2 lines of code and send data to 25+ observability platforms.
SourceOrange: How is Orange Data Mining funded?
Orange Data Mining is supported through optional voluntary donations. The project encourages donations from users who value the software to support bug fixes, new features, educational content, and infrastructure maintenance.
SourceTraceloop: What is the impact of ServiceNow acquisition?
Traceloop is joining ServiceNow, representing a strategic acquisition that will broaden enterprise adoption and integration capabilities. Current operations continue with free and enterprise options available.
SourceTraceloop: How many LLM providers and frameworks does Traceloop support?
Traceloop supports 20+ LLM providers including OpenAI and Anthropic, and integrates with frameworks like LangChain and LlamaIndex. It can send data to 25+ observability platforms.
SourceRelated pages
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- Traceloop vs DataRobot
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- Traceloop vs Azure Machine Learning
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- Traceloop vs MATLAB
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- Traceloop vs Jupyter
- Traceloop vs Alteryx
- Traceloop vs JMP
- Traceloop vs RapidMiner
- Traceloop vs Weights & Biases
- Traceloop vs Dask
- Traceloop vs Fal AI
- Traceloop vs Groq
- Traceloop vs Haystack
- Traceloop vs IBM SPSS
- Traceloop vs New Relic
- Traceloop vs InfluxDB
- Traceloop vs Checkly
- Traceloop vs Cronitor
- Traceloop vs Healthchecks
- Traceloop vs Uptime.com
- Traceloop vs Rootly
- Traceloop vs FireHydrant
- Traceloop vs incident.io
- Traceloop vs ELK Stack
- Traceloop vs Fluentd
- Traceloop vs Graylog
- Traceloop vs Loggly
- Traceloop vs Logz.io
- Traceloop vs Loki
- Traceloop vs Mezmo
- Traceloop vs Kibana
- Traceloop vs Logstash

