--- title: "apps alternatives" type: "alternatives" slug: "hendrycks-apps" canonical_url: "https://www.graphcanon.com/tools/hendrycks-apps/alternatives" of: "hendrycks-apps" count: 24 --- # apps alternatives *GraphCanon updated Jul 11, 2026* Open-source alternatives to [apps](/tools/hendrycks-apps.md) in Model Training, Vector Databases, Evaluation & Observability. ## In short Top alternatives to apps are AI-For-Beginners and FastChat, ranked by typed graph edges - model-training. [apps](https://github.com/hendrycks/apps) has 536 GitHub stars and 4 open issues, last pushed Jun 19, 2024 per [its repository](https://github.com/hendrycks/apps). The top typed alternative, [AI-For-Beginners](https://github.com/microsoft/AI-For-Beginners), shows 52k stars and 11k forks, last pushed Jul 8, 2026. ## Same categories - [AI-For-Beginners](/tools/microsoft-ai-for-beginners.md) - 12 Weeks, 24 Lessons, AI for All! (★ 52,098) [Very active] - [FastChat](/tools/lm-sys-fastchat.md) - An open platform for training, serving, and evaluating large language models (★ 39,490) [Steady] - [jax](/tools/jax-ml-jax.md) - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more (★ 35,999) [Very active] - [llm-course](/tools/mlabonne-llm-course.md) - Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. (★ 80,839) [Slowing] - [mempalace](/tools/mempalace-mempalace.md) - The best-benchmarked open-source AI memory system. (★ 57,215) [Very active] - [stanford_alpaca](/tools/tatsu-lab-stanford-alpaca.md) - Code and documentation to train Stanford's Alpaca models, and generate the data. (★ 30,250) [Dormant] - [bark](/tools/suno-ai-bark.md) - 🔊 Text-Prompted Generative Audio Model (★ 39,191) [Dormant] - [caffe](/tools/bvlc-caffe.md) - Caffe: a fast open framework for deep learning. (★ 34,574) [Dormant] - [ChatGLM-6B](/tools/zai-org-chatglm-6b.md) - ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型 (★ 41,035) [Dormant] - [ColossalAI](/tools/hpcaitech-colossalai.md) - Making large AI models cheaper, faster and more accessible (★ 41,408) [Steady] - [DeepSeek-R1](/tools/deepseek-ai-deepseek-r1.md) - Repository contains distilled LLM models derived from Qwen and LLaMA series for various commercial uses. (★ 91,991) [Dormant] _[Freemium]_ - [DeepSpeed](/tools/deepspeedai-deepspeed.md) - Deep learning optimization library for efficient distributed training and inference (★ 42,685) [Very active] - [dragonfly](/tools/dragonflydb-dragonfly.md) - A modern replacement for Redis and Memcached (★ 30,851) [Very active] - [generative-ai-for-beginners](/tools/microsoft-generative-ai-for-beginners.md) - 21 Lessons, Get Started Building with Generative AI (★ 112,866) [Very active] - [GPT-SoVITS](/tools/rvc-boss-gpt-sovits.md) - 1 min voice data can also be used to train a good TTS model! (few shot voice cloning) (★ 59,643) [Very active] - [headroom](/tools/headroomlabs-ai-headroom.md) - Compress tool outputs and data to reduce tokens before reaching the LLM. (★ 58,486) [Very active] - [JeecgBoot](/tools/jeecgboot-jeecgboot.md) - AI低代码平台，实现快速生成前后端系统及模块 (★ 47,011) [Very active] - [keras](/tools/keras-team-keras.md) - Deep Learning for humans (★ 64,191) [Very active] - [khoj](/tools/khoj-ai-khoj.md) - Your AI second brain. Self-hostable. (★ 35,636) [Active] _[Self-host, Freemium]_ - [langextract](/tools/google-langextract.md) - A Python library for extracting structured information from unstructured text using LLMs. (★ 37,129) [Active] - [langfuse](/tools/langfuse-langfuse.md) - Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets (★ 30,927) [Very active] _[Freemium]_ - [LlamaFactory](/tools/hiyouga-llamafactory.md) - Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (★ 73,157) [Very active] - [llm-app](/tools/pathwaycom-llm-app.md) - Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. (★ 59,068) [Very active] - [llmfit](/tools/alexsjones-llmfit.md) - Hundreds of models & providers. One command to find what runs on your hardware. (★ 29,280) [Very active] ## Head-to-head comparisons - [apps vs AI-For-Beginners](/compare/hendrycks-apps-vs-microsoft-ai-for-beginners.md) - [apps vs FastChat](/compare/hendrycks-apps-vs-lm-sys-fastchat.md) - [apps vs jax](/compare/hendrycks-apps-vs-jax-ml-jax.md) - [apps vs llm-course](/compare/hendrycks-apps-vs-mlabonne-llm-course.md) - [apps vs mempalace](/compare/hendrycks-apps-vs-mempalace-mempalace.md) - [apps vs stanford_alpaca](/compare/hendrycks-apps-vs-tatsu-lab-stanford-alpaca.md) - [apps vs bark](/compare/hendrycks-apps-vs-suno-ai-bark.md) - [apps vs caffe](/compare/bvlc-caffe-vs-hendrycks-apps.md) ## When NOT to use apps - Last GitHub push was 753 days ago (dormant maintenance, Jun 19, 2024). Validate activity before betting a new project on apps. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## Related alternatives hubs - [LangChain alternatives](/tools/langchain-ai-langchain/alternatives.md) - [LlamaIndex alternatives](/tools/run-llama-llama-index/alternatives.md) - [Qdrant alternatives](/tools/qdrant-qdrant/alternatives.md) ## Common questions ### What are the best alternatives to apps? Graph-backed alternatives to apps include AI-For-Beginners, FastChat, jax, llm-course, mempalace. GraphCanon ranks them by typed relationship edges and constraint overlap from decision_facts - not marketing votes or raw star sort. ### How does GraphCanon rank apps alternatives? Direct alternative and successor edges from the knowledge graph come first, ordered by edge type and shared constraint facets (persona, runtime, hosting). Category neighbours fill the list only after curated edges. Stars are shown for context, not as the primary sort. ### When should I avoid apps? Last GitHub push was 753 days ago (dormant maintenance, Jun 19, 2024). Validate activity before betting a new project on apps. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### Is apps open source? Yes. apps is an open-source project on GitHub under the MIT license, with 536 stars. ### What is apps used for? APPS: Automated Programming Progress Standard (NeurIPS 2021) ### What category is apps in? apps is categorized under Model Training, Vector Databases, Evaluation & Observability in the GraphCanon knowledge graph. ### How do apps alternatives compare head-to-head? Each alternative has a neutral compare page against apps, for example [AI-For-Beginners vs apps](/compare/hendrycks-apps-vs-microsoft-ai-for-beginners), [FastChat vs apps](/compare/hendrycks-apps-vs-lm-sys-fastchat), [jax vs apps](/compare/hendrycks-apps-vs-jax-ml-jax). Stats come from live GitHub metadata. ### Is there a machine-readable alternatives list? Yes. The markdown twin at [apps alternatives](/tools/hendrycks-apps/alternatives.md) lists direct alternatives and same-category tools with internal links to each tool markdown page. ### Where are other high-intent alternatives hubs? Related P0 OSS-vs-OSS hubs: [LangChain alternatives](/tools/langchain-ai-langchain/alternatives), [LlamaIndex alternatives](/tools/run-llama-llama-index/alternatives), [Qdrant alternatives](/tools/qdrant-qdrant/alternatives). Vector-database intent (including Pinecone-style queries) is covered at [Qdrant alternatives](/tools/qdrant-qdrant/alternatives). ### Where can I see maintenance and security signals for apps? GraphCanon publishes a sourced trust report for apps at [apps trust report](/tools/hendrycks-apps/trust) - maintenance posture, fork provenance, and dependency/MCP scan status with methodology tags. Not a safety grade. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hendrycks-apps`](/api/graphcanon/graph?tool=hendrycks-apps) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_