Comparison
agenta vs paddler
agenta (The open-source LLMOps platform) vs paddler (Open-source LLM load balancer and serving platform) - live GitHub stats and typed graph relationships, not marketing.
Markdown twin · agenta alternatives · paddler alternatives
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Tagline
- agenta
- The open-source LLMOps platform
- paddler
- Open-source LLM load balancer and serving platform
Stars
- agenta
- 4.3k
- paddler
- 1.6k
Forks
- agenta
- 562
- paddler
- 89
Open issues
- agenta
- 161
- paddler
- 25
Language
- agenta
- TypeScript
- paddler
- Rust
Adopt for
- agenta
- Agента is an open-source LLMOps platform that provides comprehensive capabilities for prompt management, evaluation, and observability of LLM applications.
- paddler
- Paddler is a self-hosting platform built in Rust for managing inference and deployment of Language and Vision Models (LLMs/VLMs) on private infrastructure. It offers features like dynamic agent addition, request handling
Persona
- agenta
- -
- paddler
- -
Runtime
- agenta
- -
- paddler
- -
License
- agenta
- The software is distributed under the MIT license, making it free for use and modification.
- paddler
- Apache-2.0
Last pushed
- agenta
- Jul 8, 2026
- paddler
- Jul 7, 2026
Categories
- agenta
- Evaluation & Observability, LLM Frameworks
- paddler
- Inference & Serving
Trust and health
Days since push
- agenta
- 0d
- paddler
- 1d
Open issues (now)
- agenta
- 161
- paddler
- 25
Security scan
- agenta
- No lockfile
- paddler
- No criticals
Full report
- agenta
- Trust report
- paddler
- Trust report
Typed relationship
agenta alternative paddlerBoth Paddler and Agenta offer platforms for deploying, managing, and scaling LLMs on self-hosted infrastructure. They provide similar functionalities with unique approaches to solving the same challenge.
Choose agenta if…
- agenta is primarily TypeScript; paddler is Rust.
- License: agenta is Other, paddler is Apache-2.0.
- Both Paddler and Agenta offer platforms for deploying, managing, and scaling LLMs on self-hosted infrastructure. They provide similar functionalities with unique approaches to solving the same challenge.
- Tags unique to agenta: evaluation, agents, prompt-management, llm-observability.
- Also covers Evaluation & Observability, LLM Frameworks.
- - When you need a unified platform for managing prompts, evaluating model performance, and monitoring LLM applications.
When NOT to use agenta
- - If your project already has a robust set of isolated tools for prompt engineering, evaluation, or observability that you do not wish to unify under one platform.
- - In cases where open-source licensing conflicts with your project's requirements or policies, as Agenta is MIT-licensed.
Choose paddler if…
- paddler is primarily Rust; agenta is TypeScript.
- License: paddler is Apache-2.0, agenta is Other.
- Requirements: Min 8 GB RAM; Requires a Rust toolchain with MSRV of at least 1.88.0 for building from source..
- Both Paddler and Agenta offer platforms for deploying, managing, and scaling LLMs on self-hosted infrastructure. They provide similar functionalities with unique approaches to solving the same challenge.
- Tags unique to paddler: llmops, ggml ecosystem, deployment, ai.
- Also covers Inference & Serving.
- paddler ships Docker support for self-hosted deployment.
- - When you need to deploy LLM and VLM models at scale with precise control over your own hardware and software environment.
When NOT to use paddler
- - If you prefer platforms with a larger community base or extensive third-party integrations. Paddler may not offer the depth of support for specific use cases as more established competitors might.
- - For those looking for extensive pre-built model integration and automation tools, since Paddler focuses on minimalistic setup around ggml ecosystem.
Explore
agenta trust report →paddler trust report →Evaluation & Observability category →LLM Frameworks category →Inference & Serving category →All comparisonsStack workflowsTrending tools
Related comparisons
Common questions
- What is the difference between agenta and paddler?
- agenta: The open-source LLMOps platform. paddler: Open-source LLM load balancer and serving platform. See the comparison table for live GitHub stats and shared categories.
- When should I choose agenta over paddler?
- Choose agenta over paddler when agenta is primarily TypeScript; paddler is Rust; License: agenta is Other, paddler is Apache-2.0; Both Paddler and Agenta offer platforms for deploying, managing, and scaling LLMs on self-hosted infrastructure. They provide similar functionalities with unique approaches to solving the same challenge; Tags unique to agenta: evaluation, agents, prompt-management, llm-observability; Also covers Evaluation & Observability, LLM Frameworks; - When you need a unified platform for managing prompts, evaluating model performance, and monitoring LLM applications.
- When should I choose paddler over agenta?
- Choose paddler over agenta when paddler is primarily Rust; agenta is TypeScript; License: paddler is Apache-2.0, agenta is Other; Requirements: Min 8 GB RAM; Requires a Rust toolchain with MSRV of at least 1.88.0 for building from source.; Both Paddler and Agenta offer platforms for deploying, managing, and scaling LLMs on self-hosted infrastructure. They provide similar functionalities with unique approaches to solving the same challenge; Tags unique to paddler: llmops, ggml ecosystem, deployment, ai; Also covers Inference & Serving; paddler ships Docker support for self-hosted deployment; - When you need to deploy LLM and VLM models at scale with precise control over your own hardware and software environment.
- When should I avoid agenta?
- - If your project already has a robust set of isolated tools for prompt engineering, evaluation, or observability that you do not wish to unify under one platform. - In cases where open-source licensing conflicts with your project's requirements or policies, as Agenta is MIT-licensed.
- When should I avoid paddler?
- - If you prefer platforms with a larger community base or extensive third-party integrations. Paddler may not offer the depth of support for specific use cases as more established competitors might. - For those looking for extensive pre-built model integration and automation tools, since Paddler focuses on minimalistic setup around ggml ecosystem.
- Is agenta or paddler more popular on GitHub?
- agenta has more GitHub stars (4,275 vs 1,627). Stars measure visibility, not whether either tool fits your constraints.
- Are agenta and paddler open source?
- Yes - both are open-source projects on GitHub (agenta: Other, paddler: Apache-2.0).
- Where can I find alternatives to agenta or paddler?
- GraphCanon lists graph-backed alternatives at /tools/agenta-ai-agenta/alternatives and /tools/intentee-paddler/alternatives (/tools/agenta-ai-agenta/alternatives.md, /tools/intentee-paddler/alternatives.md), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at /compare/agenta-ai-agenta-vs-intentee-paddler.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, agenta or paddler?
- agenta: Very active. paddler: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for agenta and paddler?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agenta: /tools/agenta-ai-agenta/trust; paddler: /tools/intentee-paddler/trust.