CalcForge records 31,360 monthly visits with -4.8% month-over-month growth and Free, Paid pricing. Hugging Face records 31,232,542 monthly visits with +0.1% growth and Freemium, Paid pricing.
Open-source engineering calculators for civil and structural design
The open platform where the machine learning community hosts models, datasets, and AI apps
| Dimension / Metric | ||
|---|---|---|
| Official Domain | calcforge.com | huggingface.co |
| Pricing Model | Free, Paid | Freemium, Paid |
| Monthly Visits | 31.36K (31,360) | 31.23M (31,232,542) |
| MoM Traffic Delta | -1.56K (-4.8%) | +40.25K (+0.1%) |
| Primary Market & Share | 🇮🇳 India (16.1%) | 🇺🇸 United States (19.1%) |
| Direct Visits / mo | 12.46K | 13.4M |
| User Rating | 4.3 | 4.8 |
| Supported Platforms | Website | Website |
Open-source engineering calculators for civil and structural design
Structural, geotechnical, tunnelling and contractor tools available free and open source on GitHub.
Searchable construction datasets covering high-rise buildings, bridges, tunnels, dams and housing.
Registered users get calculation workings, bending/shear/deflection diagrams and PDF export.
Four project-based pathways in Python, AI for construction, AI governance and building AI agents.
The open platform where the machine learning community hosts models, datasets, and AI apps
Search, download, and publish across millions of models and hundreds of thousands of datasets, complete with model cards, versioning, and citations.
Deploy Gradio, Streamlit, or static apps directly from a repository to show off a model, run comparisons, or share a tool with a public link.
Transformers, Diffusers, Datasets, Tokenizers, Accelerate, PEFT, TRL, and smolagents give you end-to-end tooling for training, fine-tuning, and inference.
Inference Providers route a single API to tens of thousands of models from multiple vendors, while Inference Endpoints spin up dedicated GPU hardware on demand.
SpecialistA unified API gateway routing requests across hundreds of language models, but lacking dataset hosting.
SpecialistA unified API gateway routing requests across hundreds of language models, but lacking dataset hosting.
Free / Open-sourceEnables running and managing open-source LLMs locally on your hardware instead of relying on cloud hosting.
Free / Open-sourceEnables running and managing open-source LLMs locally on your hardware instead of relying on cloud hosting.
SpecialistFocuses strictly on community-driven discovery and sharing of generative image and video models rather than text LLMs.
SpecialistOne API for 1,500+ production-ready generative media models
Free / Open-sourceAn alternative open-source model repository and community hub, featuring extensive regional models and online interactive demos.
Free / Open-sourceAn alternative open-source model repository and community hub, featuring extensive regional models and online interactive demos.
Provides robust serverless inference and fine-tuning APIs for open-source models, replacing Hugging Face's hosted endpoints.
Provides robust serverless inference and fine-tuning APIs for open-source models, replacing Hugging Face's hosted endpoints.
Offers cloud APIs for running and fine-tuning machine learning models with simpler pricing than custom infrastructure.
Offers cloud APIs for running and fine-tuning machine learning models with simpler pricing than custom infrastructure.
Free / Open-sourceOpen-source, memory-efficient fine-tuning and local model running
Free / Open-sourceOpen-source, memory-efficient fine-tuning and local model running
Delivers ultra-fast serverless inference for open-weight models, prioritizing production throughput over community dataset sharing.
Free / Open-sourceSearch and study millions of public SKILL.md agent skills
Free / Open-sourceSearch and study millions of public SKILL.md agent skills
Provides low-cost serverless inference and GPU rentals for open models, though without community spaces and datasets.
One API for fast, cost-predictable inference on LLMs and multimodal models
One API for fast, cost-predictable inference on LLMs and multimodal models
