Business Software for Hugging Face

Top Software that integrates with Hugging Face as of July 2025

Compare business software, products, and services to find the best solution for your business or organization. Use the filters on the left to drill down by category, pricing, features, organization size, organization type, region, user reviews, integrations, and more. View and sort the products and solutions that match your needs in the results below.

  • 1
    Stack AI

    Stack AI

    Stack AI

    AI agents that interact with users, answer questions, and complete tasks, using your internal data and APIs. AI that answers questions, summarize, and extract insights from any document, no matter how long. Generate tags, summaries, and transfer styles or formats between documents and data sources. Developer teams use Stack AI to automate customer support, process documents, qualify sales leads, and search through libraries of data. Try multiple prompts and LLM architectures with the ease of a button. Collect data and run fine-tuning jobs to build the optimal LLM for your product. We host all your workflows as APIs so that your users can access AI instantly. Select from the different LLM providers to compare fine-tuning jobs that satisfy your accuracy, price, and latency needs.
    Starting Price: $199/month
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  • 2
    ILLA Cloud

    ILLA Cloud

    ILLA Cloud

    Accelerate your internal tools development. A low-code platform for developers to build internal tools in minutes. With the SQL Generate feature, you can input natural language and get SQL statements that can be run directly. This works in databases like MySQL, Postgre, Supabase, etc. We offer developers a high degree of freedom to implement richer functionality through JavaScript, wrapping JS statements with {{Template Syntax}} to place at any string type variable spaces for more variety in the output. ILLA can connect to the mainstream databases or any data connected through APIs and add actions to chain to user events. It tightly integrates the data obtained from the back-end with the front-end components, allowing developers to write simple data calls to achieve massive information interaction.
    Starting Price: $10 per editor per month
  • 3
    Langfuse

    Langfuse

    Langfuse

    Langfuse is an open source LLM engineering platform to help teams collaboratively debug, analyze and iterate on their LLM Applications. Observability: Instrument your app and start ingesting traces to Langfuse Langfuse UI: Inspect and debug complex logs and user sessions Prompts: Manage, version and deploy prompts from within Langfuse Analytics: Track metrics (LLM cost, latency, quality) and gain insights from dashboards & data exports Evals: Collect and calculate scores for your LLM completions Experiments: Track and test app behavior before deploying a new version Why Langfuse? - Open source - Model and framework agnostic - Built for production - Incrementally adoptable - start with a single LLM call or integration, then expand to full tracing of complex chains/agents - Use GET API to build downstream use cases and export data
    Starting Price: $29/month
  • 4
    Firecrawl

    Firecrawl

    Firecrawl

    Crawl and convert any website into clean markdown or structured data, it's also open source. We crawl all accessible subpages and give you a clean markdown for each, no sitemap is required. Enhance your applications with top-tier web scraping and crawling capabilities. Extract markdown or structured data from websites quickly and efficiently. Navigate and retrieve data from all accessible subpages, even without a sitemap. Already fully integrated with the greatest existing tools and workflows. Kick off your journey for free and scale seamlessly as your project expands. Developed transparently and collaboratively. Join our community of contributors. Firecrawl crawls all accessible subpages, even without a sitemap. Firecrawl gathers data even if a website uses JavaScript to render content. Firecrawl returns clean, well-formatted markdown, ready for use in LLM applications. Firecrawl orchestrates the crawling process in parallel for the fastest results.
    Starting Price: $16 per month
  • 5
    bolt.diy

    bolt.diy

    bolt.diy

    bolt.diy is an open-source platform that enables developers to easily create, run, edit, and deploy full-stack web applications with a variety of large language models (LLMs). It supports a wide range of models, including OpenAI, Anthropic, Ollama, OpenRouter, Gemini, LMStudio, Mistral, xAI, HuggingFace, DeepSeek, and Groq. The platform offers seamless integration through the Vercel AI SDK, allowing users to customize and extend their applications with the LLMs of their choice. With its intuitive interface, bolt.diy is designed to simplify AI development workflows, making it a great tool for both experimentation and production-ready applications.
    Starting Price: Free
  • 6
    Dataiku

    Dataiku

    Dataiku

    Dataiku is an advanced data science and machine learning platform designed to enable teams to build, deploy, and manage AI and analytics projects at scale. It empowers users, from data scientists to business analysts, to collaboratively create data pipelines, develop machine learning models, and prepare data using both visual and coding interfaces. Dataiku supports the entire AI lifecycle, offering tools for data preparation, model training, deployment, and monitoring. The platform also includes integrations for advanced capabilities like generative AI, helping organizations innovate and deploy AI solutions across industries.
  • 7
    Qwen

    Qwen

    Alibaba

    Qwen LLM refers to a family of large language models (LLMs) developed by Alibaba Cloud's Damo Academy. These models are trained on a massive dataset of text and code, allowing them to understand and generate human-like text, translate languages, write different kinds of creative content, and answer your questions in an informative way. Here are some key features of Qwen LLMs: Variety of sizes: The Qwen series ranges from 1.8 billion to 72 billion parameters, offering options for different needs and performance levels. Open source: Some versions of Qwen are open-source, which means their code is publicly available for anyone to use and modify. Multilingual support: Qwen can understand and translate multiple languages, including English, Chinese, and French. Diverse capabilities: Besides generation and translation, Qwen models can be used for tasks like question answering, text summarization, and code generation.
    Starting Price: Free
  • 8
    Opik

    Opik

    Comet

    Confidently evaluate, test, and ship LLM applications with a suite of observability tools to calibrate language model outputs across your dev and production lifecycle. Log traces and spans, define and compute evaluation metrics, score LLM outputs, compare performance across app versions, and more. Record, sort, search, and understand each step your LLM app takes to generate a response. Manually annotate, view, and compare LLM responses in a user-friendly table. Log traces during development and in production. Run experiments with different prompts and evaluate against a test set. Choose and run pre-configured evaluation metrics or define your own with our convenient SDK library. Consult built-in LLM judges for complex issues like hallucination detection, factuality, and moderation. Establish reliable performance baselines with Opik's LLM unit tests, built on PyTest. Build comprehensive test suites to evaluate your entire LLM pipeline on every deployment.
    Starting Price: $39 per month
  • 9
    Teradata VantageCloud
    Teradata VantageCloud is a comprehensive cloud-based analytics and data platform that allows businesses to unlock the full potential of their data with unparalleled speed, scalability, and operational flexibility. Engineered for enterprise-grade performance, VantageCloud supports seamless AI and machine learning integration, enabling organizations to generate real-time insights and make informed decisions faster. It offers deployment flexibility across public clouds, hybrid environments, or on-premise setups, making it highly adaptable to existing infrastructures. With features like unified data architecture, intelligent governance, and optimized cost-efficiency, VantageCloud helps businesses reduce complexity, drive innovation, and maintain a competitive edge in today’s data-driven world.
  • 10
    Datasaur

    Datasaur

    Datasaur

    Welcome to the best tool for managing your labeling team, improving data quality, and working 70% faster—all in one place.
    Starting Price: $349/month
  • 11
    Arize AI

    Arize AI

    Arize AI

    Automatically discover issues, diagnose problems, and improve models with Arize’s machine learning observability platform. Machine learning systems address mission critical needs for businesses and their customers every day, yet often fail to perform in the real world. Arize is an end-to-end observability platform to accelerate detecting and resolving issues for your AI models at large. Seamlessly enable observability for any model, from any platform, in any environment. Lightweight SDKs to send training, validation, and production datasets. Link real-time or delayed ground truth to predictions. Gain foresight and confidence that your models will perform as expected once deployed. Proactively catch any performance degradation, data/prediction drift, and quality issues before they spiral. Reduce the time to resolution (MTTR) for even the most complex models with flexible, easy-to-use tools for root cause analysis.
    Starting Price: $50/month
  • 12
    Zilliz Cloud
    Zilliz Cloud is a fully managed vector database based on the popular open-source Milvus. Zilliz Cloud helps to unlock high-performance similarity searches with no previous experience or extra effort needed for infrastructure management. It is ultra-fast and enables 10x faster vector retrieval, a feat unparalleled by any other vector database management system. Zilliz includes support for multiple vector search indexes, built-in filtering, and complete data encryption in transit, a requirement for enterprise-grade applications. Zilliz is a cost-effective way to build similarity search, recommender systems, and anomaly detection into applications to keep that competitive edge.
    Starting Price: $0
  • 13
    OpenVINO
    The Intel® Distribution of OpenVINO™ toolkit is an open-source AI development toolkit that accelerates inference across Intel hardware platforms. Designed to streamline AI workflows, it allows developers to deploy optimized deep learning models for computer vision, generative AI, and large language models (LLMs). With built-in tools for model optimization, the platform ensures high throughput and lower latency, reducing model footprint without compromising accuracy. OpenVINO™ is perfect for developers looking to deploy AI across a range of environments, from edge devices to cloud servers, ensuring scalability and performance across Intel architectures.
    Starting Price: Free
  • 14
    Weaviate

    Weaviate

    Weaviate

    Weaviate is an open-source vector database. It allows you to store data objects and vector embeddings from your favorite ML-models, and scale seamlessly into billions of data objects. Whether you bring your own vectors or use one of the vectorization modules, you can index billions of data objects to search through. Combine multiple search techniques, such as keyword-based and vector search, to provide state-of-the-art search experiences. Improve your search results by piping them through LLM models like GPT-3 to create next-gen search experiences. Beyond search, Weaviate's next-gen vector database can power a wide range of innovative apps. Perform lightning-fast pure vector similarity search over raw vectors or data objects, even with filters. Combine keyword-based search with vector search techniques for state-of-the-art results. Use any generative model in combination with your data, for example to do Q&A over your dataset.
    Starting Price: Free
  • 15
    Union Cloud

    Union Cloud

    Union.ai

    Union.ai is an award-winning, Flyte-based data and ML orchestrator for scalable, reproducible ML pipelines. With Union.ai, you can write your code locally and easily deploy pipelines to remote Kubernetes clusters. “Flyte’s scalability, data lineage, and caching capabilities enable us to train hundreds of models on petabytes of geospatial data, giving us an edge in our business.” — Arno, CTO at Blackshark.ai “With Flyte, we want to give the power back to biologists. We want to stand up something that they can play around with different parameters for their models because not every … parameter is fixed. We want to make sure we are giving them the power to run the analyses.” — Krishna Yeramsetty, Principal Data Scientist at Infinome “Flyte plays a vital role as a key component of Gojek's ML Platform by providing exactly that." — Pradithya Aria Pura, Principal Engineer at Goj
    Starting Price: Free (Flyte)
  • 16
    Qwen-7B

    Qwen-7B

    Alibaba

    Qwen-7B is the 7B-parameter version of the large language model series, Qwen (abbr. Tongyi Qianwen), proposed by Alibaba Cloud. Qwen-7B is a Transformer-based large language model, which is pretrained on a large volume of data, including web texts, books, codes, etc. Additionally, based on the pretrained Qwen-7B, we release Qwen-7B-Chat, a large-model-based AI assistant, which is trained with alignment techniques. The features of the Qwen-7B series include: Trained with high-quality pretraining data. We have pretrained Qwen-7B on a self-constructed large-scale high-quality dataset of over 2.2 trillion tokens. The dataset includes plain texts and codes, and it covers a wide range of domains, including general domain data and professional domain data. Strong performance. In comparison with the models of the similar model size, we outperform the competitors on a series of benchmark datasets, which evaluates natural language understanding, mathematics, coding, etc. And more.
    Starting Price: Free
  • 17
    Codestral Mamba
    As a tribute to Cleopatra, whose glorious destiny ended in tragic snake circumstances, we are proud to release Codestral Mamba, a Mamba2 language model specialized in code generation, available under an Apache 2.0 license. Codestral Mamba is another step in our effort to study and provide new architectures. It is available for free use, modification, and distribution, and we hope it will open new perspectives in architecture research. Mamba models offer the advantage of linear time inference and the theoretical ability to model sequences of infinite length. It allows users to engage with the model extensively with quick responses, irrespective of the input length. This efficiency is especially relevant for code productivity use cases, this is why we trained this model with advanced code and reasoning capabilities, enabling it to perform on par with SOTA transformer-based models.
    Starting Price: Free
  • 18
    Mathstral

    Mathstral

    Mistral AI

    As a tribute to Archimedes, whose 2311th anniversary we’re celebrating this year, we are proud to release our first Mathstral model, a specific 7B model designed for math reasoning and scientific discovery. The model has a 32k context window published under the Apache 2.0 license. We’re contributing Mathstral to the science community to bolster efforts in advanced mathematical problems requiring complex, multi-step logical reasoning. The Mathstral release is part of our broader effort to support academic projects, it was produced in the context of our collaboration with Project Numina. Akin to Isaac Newton in his time, Mathstral stands on the shoulders of Mistral 7B and specializes in STEM subjects. It achieves state-of-the-art reasoning capacities in its size category across various industry-standard benchmarks. In particular, it achieves 56.6% on MATH and 63.47% on MMLU, with the following MMLU performance difference by subject between Mathstral 7B and Mistral 7B.
    Starting Price: Free
  • 19
    Qwen2.5

    Qwen2.5

    Alibaba

    Qwen2.5 is an advanced multimodal AI model designed to provide highly accurate and context-aware responses across a wide range of applications. It builds on the capabilities of its predecessors, integrating cutting-edge natural language understanding with enhanced reasoning, creativity, and multimodal processing. Qwen2.5 can seamlessly analyze and generate text, interpret images, and interact with complex data to deliver precise solutions in real time. Optimized for adaptability, it excels in personalized assistance, data analysis, creative content generation, and academic research, making it a versatile tool for professionals and everyday users alike. Its user-centric design emphasizes transparency, efficiency, and alignment with ethical AI practices.
    Starting Price: Free
  • 20
    LTXV

    LTXV

    Lightricks

    LTXV offers a suite of AI-powered creative tools designed to empower content creators across various platforms. LTX provides AI-driven video generation capabilities, allowing users to craft detailed video sequences with full control over every stage of production. It leverages Lightricks' proprietary AI models to deliver high-quality, efficient, and user-friendly editing experiences. LTX Video uses a breakthrough called multiscale rendering, starting with fast, low-res passes to capture motion and lighting, then refining with high-res detail. Unlike traditional upscalers, LTXV-13B analyzes motion over time, front-loading the heavy computation to deliver up to 30× faster, high-quality renders.
    Starting Price: Free
  • 21
    Camunda

    Camunda

    Camunda

    Camunda enables organizations to orchestrate and automate processes across people, systems, and devices to continuously overcome complexity, increase efficiency, and fully operationalize AI. Built for business and IT users, Camunda’s leading orchestration and automation platform executes any process at the required speed and scale to remain competitive without compromising security and governance. Over 700 companies across all industries, including Atlassian, ING, and Vodafone trust Camunda with the design, orchestration, automation, and improvement of their business-critical processes to accelerate digital transformation. To learn more visit camunda.com.
  • 22
    Flyte

    Flyte

    Union.ai

    The workflow automation platform for complex, mission-critical data and ML processes at scale. Flyte makes it easy to create concurrent, scalable, and maintainable workflows for machine learning and data processing. Flyte is used in production at Lyft, Spotify, Freenome, and others. At Lyft, Flyte has been serving production model training and data processing for over four years, becoming the de-facto platform for teams like pricing, locations, ETA, mapping, autonomous, and more. In fact, Flyte manages over 10,000 unique workflows at Lyft, totaling over 1,000,000 executions every month, 20 million tasks, and 40 million containers. Flyte has been battle-tested at Lyft, Spotify, Freenome, and others. It is entirely open-source with an Apache 2.0 license under the Linux Foundation with a cross-industry overseeing committee. Configuring machine learning and data workflows can get complex and error-prone with YAML.
    Starting Price: Free
  • 23
    TrueFoundry

    TrueFoundry

    TrueFoundry

    TrueFoundry is a Cloud-native Machine Learning Training and Deployment PaaS on top of Kubernetes that enables Machine learning teams to train and Deploy models at the speed of Big Tech with 100% reliability and scalability - allowing them to save cost and release Models to production faster. We abstract out the Kubernetes for Data Scientists and enable them to operate in a way they are comfortable. It also allows teams to deploy and fine-tune large language models seamlessly with full security and cost optimization. TrueFoundry is open-ended, API Driven and integrates with the internal systems, deploys on a company's internal infrastructure and ensures complete Data Privacy and DevSecOps practices.
    Starting Price: $5 per month
  • 24
    ZenML

    ZenML

    ZenML

    Simplify your MLOps pipelines. Manage, deploy, and scale on any infrastructure with ZenML. ZenML is completely free and open-source. See the magic with just two simple commands. Set up ZenML in a matter of minutes, and start with all the tools you already use. ZenML standard interfaces ensure that your tools work together seamlessly. Gradually scale up your MLOps stack by switching out components whenever your training or deployment requirements change. Keep up with the latest changes in the MLOps world and easily integrate any new developments. Define simple and clear ML workflows without wasting time on boilerplate tooling or infrastructure code. Write portable ML code and switch from experimentation to production in seconds. Manage all your favorite MLOps tools in one place with ZenML's plug-and-play integrations. Prevent vendor lock-in by writing extensible, tooling-agnostic, and infrastructure-agnostic code.
    Starting Price: Free
  • 25
    Nekton.ai

    Nekton.ai

    Nekton.ai

    Just use plain English to describe your workflow steps. If the step can be automated, Nekton AI will write automation code for you and run it in the cloud. It's easy to get started, and you don't need to learn any complicated tools. Nekton integrates with thousands of services and can automate different business and personal workflows. Collect input from users and use it in automation. Send a link to your workflow to others, so they can run it. No sign-ups are required. Nekton AI can automate highly-customized tasks, and you don't need to learn complex platforms or hire developers. Mix manual and automated steps in a workflow, and automate things gradually as needed. Automation runs in the cloud, so you don’t need to set up and maintain any infrastructure. Run automation locally on your computer or use services that are not accessible from the Internet. Process small-to-medium amounts of data.
    Starting Price: $9 per month
  • 26
    Flowise

    Flowise

    Flowise AI

    Flowise is an open-source, low-code platform that enables developers to create customized Large Language Model (LLM) applications through a user-friendly drag-and-drop interface. It supports integration with various LLMs, including LangChain and LlamaIndex, and offers over 100 integrations to facilitate the development of AI agents and orchestration flows. Flowise provides APIs, SDKs, and embedded widgets for seamless incorporation into existing systems, and is platform-agnostic, allowing deployment in air-gapped environments with local LLMs and vector databases.
    Starting Price: Free
  • 27
    Marqo

    Marqo

    Marqo

    Marqo is more than a vector database, it's an end-to-end vector search engine. Vector generation, storage, and retrieval are handled out of the box through a single API. No need to bring your own embeddings. Accelerate your development cycle with Marqo. Index documents and begin searching in just a few lines of code. Create multimodal indexes and search combinations of images and text with ease. Choose from a range of open source models or bring your own. Build interesting and complex queries with ease. With Marqo you can compose queries with multiple weighted components. With Marqo, input pre-processing, machine learning inference, and storage are all included out of the box. Run Marqo in a Docker image on your laptop or scale it up to dozens of GPU inference nodes in the cloud. Marqo can be scaled to provide low-latency searches against multi-terabyte indexes. Marqo helps you configure deep-learning models like CLIP to pull semantic meaning from images.
    Starting Price: $86.58 per month
  • 28
    LastMile AI

    LastMile AI

    LastMile AI

    Prototype and productionize generative AI apps, built for engineers, not just ML practitioners. No more switching between platforms or wrestling with different APIs, focus on creating, not configuring. Use a familiar interface to prompt engineer and work with AI. Use parameters to easily streamline your workbooks into reusable templates. Create workflows by chaining model outputs from LLMs, image, and audio models. Create organizations to manage workbooks amongst your teammates. Share your workbook to the public or specific organizations you define with your team. Comment on workbooks and easily review and compare workbooks with your team. Develop templates for yourself, your team, or the broader developer community, get started quickly with templates to see what people are building.
    Starting Price: $50 per month
  • 29
    PostgresML

    PostgresML

    PostgresML

    PostgresML is a complete platform in a PostgreSQL extension. Build simpler, faster, and more scalable models right inside your database. Explore the SDK and test open source models in our hosted database. Combine and automate the entire workflow from embedding generation to indexing and querying for the simplest (and fastest) knowledge-based chatbot implementation. Leverage multiple types of natural language processing and machine learning models such as vector search and personalization with embeddings to improve search results. Leverage your data with time series forecasting to garner key business insights. Build statistical and predictive models with the full power of SQL and dozens of regression algorithms. Return results and detect fraud faster with ML at the database layer. PostgresML abstracts the data management overhead from the ML/AI lifecycle by enabling users to run ML/LLM models directly on a Postgres database.
    Starting Price: $.60 per hour
  • 30
    garak

    garak

    garak

    garak checks if an LLM can be made to fail in a way we don't want. garak probes for hallucination, data leakage, prompt injection, misinformation, toxicity generation, jailbreaks, and many other weaknesses. garak's a free tool, we love developing it and are always interested in adding functionality to support applications. garak is a command-line tool, it's developed in Linux and OSX. Just grab it from PyPI and you should be good to go. The standard pip version of garak is updated periodically. garak has its own dependencies, you can to install garak in its own Conda environment. garak needs to know what model to scan, and by default, it'll try all the probes it knows on that model, using the vulnerability detectors recommended by each probe. For each probe loaded, garak will print a progress bar as it generates. Once the generation is complete, a row evaluating that probe's results on each detector is given.
    Starting Price: Free
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