List of Modal Integrations
This is a list of platforms and tools that integrate with Modal. This list is updated as of April 2025.
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Spreadsite
Spreadsite
Transform spreadsheets into stunning, interactive websites effortlessly!Spreadsite utilizes advanced AI technology to transform your data into stunning and interactive web dashboards, eliminating the need for any coding knowledge. Through our intuitive workflow, you can seamlessly convert your spreadsheets into custom agent-driven websites. Discover the power of our agent-powered website generator, which takes your spreadsheet data and transforms it into extraordinary, interactive web applications on a large scale. To achieve the best results, it's essential to use clean and well-organized data, especially when it comes to qualitative information with succinct entries. We are continually advancing our platform to support a wide variety of data formats. What distinguishes Spreadsite is our dedication to delivering fully AI-generated, uniquely designed interfaces tailored specifically for your data. Our tool is expertly designed to produce unique visualizations that cater precisely to your dataset, providing an unparalleled level of customization and insight. By converting your spreadsheets into interactive, personalized websites created specifically for your needs, you can truly unleash the potential of your data like never before. Additionally, this transformation allows you to effectively share insights and compelling narratives that will truly engage your audience, fostering deeper connections and understanding. -
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Axolotl
Axolotl
Streamline your AI model training with effortless customization.Axolotl is a highly adaptable open-source platform designed to streamline the fine-tuning of various AI models, accommodating a wide range of configurations and architectures. This innovative tool enhances model training by offering support for multiple techniques, including full fine-tuning, LoRA, QLoRA, ReLoRA, and GPTQ. Users can easily customize their settings with simple YAML files or adjustments via the command-line interface, while also having the option to load datasets in numerous formats, whether they are custom-made or pre-tokenized. Axolotl integrates effortlessly with cutting-edge technologies like xFormers, Flash Attention, Liger kernel, RoPE scaling, and multipacking, and it supports both single and multi-GPU setups, utilizing Fully Sharded Data Parallel (FSDP) or DeepSpeed for optimal efficiency. It can function in local environments or cloud setups via Docker, with the added capability to log outcomes and checkpoints across various platforms. Crafted with the end user in mind, Axolotl aims to make the fine-tuning process for AI models not only accessible but also enjoyable and efficient, thereby ensuring that it upholds strong functionality and scalability. Moreover, its focus on user experience cultivates an inviting atmosphere for both developers and researchers, encouraging collaboration and innovation within the community.
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