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Pay-per-use AI image and video generation API for developers and e-commerce businesses. **What you can do:** - Generate images with SDXL, FLUX Pro, and FLUX Schnell models - Remove backgrounds (no ML expertise needed, one API call) - Replace backgro

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Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.

Which is more popular?
Based on our record, Langfuse should be more popular than PixelAPI.dev. It has been mentioned 34 times since March 2021.
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | pixelapi.dev | langfuse.com |
| Pricing | ||
| Company | 1 - 9 employees · 41001 | Startup from the United States |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of PixelAPI.dev yet.
Langfuse is an open-source LLM engineering platform designed to empower developers by providing insights into user interactions with their LLM applications. We offer tools that help developers understand usage patterns, diagnose issues, and improve application performance based on real user data....
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Ten free AI prompt tools in 2026 across four categories: prompt generators (SurePrompts, Anthropic Console, OpenAI Playground), libraries (AIPRM, PromptHero, FlowGPT, Awesome ChatGPT Prompts), open-source workflow...
Recommendations tracked on public social media and blogs since March 2021.


Import httpx Import os PIXELAPI_KEY = os.environ["PIXELAPI_KEY"] Def color_grade(image_url: str, style: str) -> str: response = httpx.post( "https://pixelapi.dev/api/color-grade", headers={"Authorization": f"Bearer... - Source: dev.to / 4 months ago
I shipped PixelAPI's /v1/pattern endpoint yesterday — 8 styles, 512px or 1024px output, recolor + upscale ops, fully seamless tileable. At $0.008/pattern, it's 2-5× cheaper than PatternedAI's GUI sessions. - Source: dev.to / 5 months ago
Import fs from "fs"; Import path from "path"; Import fetch from "node-fetch"; Import FormData from "form-data"; Async function addShadow(imagePath) { const form = new FormData(); form.append("image",... - Source: dev.to / 5 months ago
Langfuse is an open-source observability and analytics platform for LLM applications. Its open-source nature is a significant draw for companies that prefer to self-host or want to avoid vendor lock-in. - Source: dev.to / 3 days ago
We have researched and experimented with several AI evaluation platforms, including Arize Phoenix, Microsoft Foundry, and Langfuse. After evaluating them against our requirements and roadmap, we shortlisted Microsoft Foundry and Langfuse... - Source: dev.to / 12 days ago
Langfuse is the other serious option in this category if you also want observability, evals and traces bundled with prompt management. Different scope, more setup, worth comparing honestly. - Source: dev.to / about 1 month ago
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