AI coding assistants, dev tools, and no-code/app builders.
111 tools · ranked by community votes and reviews
Rank is based on a combination of real, ongoing signals from the AIPick community — not a paid placement or a one-time snapshot.
Rankings update automatically every few hours as new votes and reviews come in, and can change at any time — nobody can pay to move up this list.
On-demand GPU cloud for AI training, fine-tuning, and inference.
RunPod provides affordable, on-demand GPU instances for AI workloads — training, fine-tuning, and hosting model inference endpoints — aimed at developers and small teams who need serious GPU power without long-term cloud contracts.
LLM prompt management and evaluation platform for product teams.
Humanloop helps teams manage prompts, run evaluations, and monitor LLM application quality in production — letting product managers iterate on prompts without redeploying code, while engineers track regressions with automated and human-graded evals.
Evaluation and observability platform for building reliable LLM applications.
Braintrust gives teams a way to systematically test and score LLM application outputs against datasets, track regressions across prompt/model changes, and monitor production logs — aimed at catching quality issues before they reach users.
Prompt management and LLM observability platform for teams.
PromptLayer logs every LLM API call a team makes, letting engineers search and replay past prompts, track cost and latency, and manage prompt versions in a visual editor separate from application code — aimed at teams running many LLM calls in production.
Open-source LLM observability platform for monitoring cost, latency, and usage.
Helicone is a lightweight, open-source observability layer that sits between an application and its LLM provider, logging every request to track cost, latency, and errors, and giving teams dashboards and alerts without changing much application code.
Open-source Python library for building and sharing AI model demos.
Gradio (built by Hugging Face) lets developers wrap a machine learning model in a simple web UI with a few lines of Python — used across the AI community to demo models, collect feedback, and share interactive AI apps without frontend work.
Web scraping and automation platform with AI agent-ready actors.
Apify is a web scraping and automation platform built around reusable "Actors" — pre-built or custom scrapers/bots — now positioned heavily toward AI use cases, letting AI agents call Actors as tools to fetch structured web data on demand.
Web data infrastructure platform providing clean, structured data for AI models.
Bright Data provides proxy networks and web-scraping infrastructure at scale, increasingly marketed as an AI data pipeline — turning public web content into clean, structured datasets for training and grounding LLMs and AI agents.
AI-powered web data extraction platform that builds a structured knowledge graph.
Diffbot uses computer vision and NLP to automatically extract structured data (articles, products, discussions) from any webpage without custom scraping rules, and aggregates it into a queryable knowledge graph of facts about people, organizations, and products.
Run open-source large language models locally on your own computer.
Ollama lets developers download and run open-source LLMs (Llama, Mistral, and others) directly on their own machine with a single command, handling model quantization and serving so local AI development doesn't require cloud API calls or GPU servers.