Showing 1607 open source projects for "no coding"

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    $300 Free Credits to Build on Google Cloud

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    MongoDB Atlas runs apps anywhere

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  • 1
    ORACLE PL/SQL development framework including coding standards and summarizing third-party tools like pldoc, ant, log4pl and utPLSQL.
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  • 2
    Hy4 preview

    Hy4 preview

    770B MoE model for coding, research, reasoning, and long-context work

    Hy4 preview is Tencent’s open-weight flagship Mixture-of-Experts language model designed for advanced reasoning, software engineering, productivity, scientific research, and long-horizon tasks. It contains 770B backbone parameters while activating 49B per token across 78 layers, with 256 routed experts and one shared expert in each MoE layer. Its architecture uses Gated DeepSeek Sparse Attention with IndexCache for cross-layer sparse-index reuse and identity Hyper-Connections to improve...
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  • 3
    Solar Open 2

    Solar Open 2

    Efficient 250B MoE model for agents, coding, and long-context work

    Solar Open 2 is Upstage’s 250B-A15B open-weight large language model designed for agentic workflows, office productivity, document-intensive tasks, coding, and reasoning. Its Hybrid-Attention Mixture-of-Experts architecture contains 250B total parameters while activating only 15B per token, combining three linear-attention layers with one softmax-attention layer for efficient inference. The model supports a native 1M-token context window and uses NoPE instead of rotary positional encoding, reducing long-context KV-cache requirements. ...
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  • 4
    Muse Glimmer

    Muse Glimmer

    Local multimodal 30B model for autonomous agents, coding, and tools

    Muse Glimmer-30B is Meta Superintelligence Lab’s open-weight multimodal model built specifically for autonomous agentic tasks on consumer hardware. Distilled from the larger Muse Spark, it combines multi-step reasoning, reliable tool use, coding, failure recovery, and image understanding in a dense 29.6B-parameter architecture with a dedicated 1.8B-parameter perception encoder. It supports more than 100 languages and a 131K+ token context window, allowing agents to maintain coherent plans across extended workflows. Muse Glimmer can interpret screenshots, charts, documents, and images alongside text, while configurable reasoning strength lets developers balance response quality and speed. ...
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    99.99% Uptime for MySQL and PostgreSQL Databases

    Sub-second maintenance. 2x read/write performance. Built-in vector search for AI apps.

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  • 5
    MiMo-V2.5

    MiMo-V2.5

    Omnimodal AI model for agents, coding, and long-context tasks

    ...With a context window of up to 1 million tokens, it can handle large documents, extended conversations, and multi-step workflows without fragmentation. MiMo-V2.5 delivers near-Pro-level performance in coding, reasoning, and agent tasks while maintaining lower cost and faster inference speeds. It also integrates advanced components such as multi-token prediction modules and specialized vision and audio encoders, making it well-suited for autonomous agents and software development.
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  • 6
    GigaChat 3 Ultra

    GigaChat 3 Ultra

    High-performance MoE model with MLA, MTP, and multilingual reasoning

    ...Its training corpus incorporates ten languages, enriched with books, academic sources, code datasets, mathematical tasks, and more than 5.5 trillion tokens of high-quality synthetic data. This combination significantly boosts reasoning, coding, and multilingual performance across modern benchmarks. Designed for high-performance deployment, GigaChat 3 Ultra supports major inference engines and offers optimized BF16 and FP8 execution paths for cluster-grade hardware.
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  • 7
    Qwen3-Next

    Qwen3-Next

    Qwen3-Next: 80B instruct LLM with ultra-long context up to 1M tokens

    ...Multi-Token Prediction (MTP) boosts both training and inference, while stability optimizations such as weight-decayed and zero-centered layernorm ensure robustness. Benchmarks show it performs comparably to larger models like Qwen3-235B on reasoning, coding, multilingual, and alignment tasks while requiring only a fraction of the training cost.
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  • 8
    BotBuild is a robotic prototyping tool that makes coding easy and more time efficient.
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  • 9
    MiMo-V2.6-Flash

    MiMo-V2.6-Flash

    Efficient 309B omnimodal MoE for coding, agents, vision, and audio

    MiMo-V2.6-Flash is Xiaomi MiMo’s efficiency-balanced open-weight omnimodal model, designed to scale reinforcement learning across coding, general agents, visual tasks, and cybersecurity. Its sparse Mixture-of-Experts architecture contains 309B total parameters while activating only 15B per token, using 256 routed experts with eight active per token. The model natively processes text, images, video, and audio and supports a 1M-token context window for large repositories, extended tool traces, and multi-session agent workflows. ...
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    Demo Series - Small Business Backup By Veeam

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  • 10
    Ministral 3 8B Reasoning 2512

    Ministral 3 8B Reasoning 2512

    Efficient 8B multimodal model tuned for advanced reasoning tasks.

    ...It combines an 8.4B-parameter language model with a 0.4B vision encoder, enabling it to process both text and images for advanced reasoning tasks. This version is specifically post-trained for reasoning, making it well-suited for math, coding, and STEM applications requiring multi-step logic and problem-solving. Despite its reasoning-focused training, the model remains edge-optimized and can run locally on a single 24GB GPU in BF16, or under 12GB when quantized. It supports dozens of languages, adheres reliably to system prompts, and provides native function calling and structured JSON output—key capabilities for agentic and automation workflows. ...
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  • 11
    Ministral 3 14B Reasoning 2512

    Ministral 3 14B Reasoning 2512

    High-precision 14B multimodal model built for advanced reasoning tasks

    ...It pairs a 13.5B-parameter language model with a 0.4B vision encoder, enabling strong multimodal reasoning across both text and images. This version is specifically post-trained for reasoning tasks, making it highly effective for math, coding, STEM workloads, and complex multi-step problem-solving. Despite its scale, the model is engineered for practical deployment and can run locally on 32GB of VRAM in BF16 or under 24GB when quantized. It maintains robust system-prompt adherence, supports dozens of languages, and provides native function calling with clean JSON output for agentic workflows. ...
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  • 12
    A CMS created by some people from my class who are interested in learning PHP+MySQL based coding and also XHTML, CSS and JavaScript.
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  • 13
    Ministral 3 3B Reasoning 2512

    Ministral 3 3B Reasoning 2512

    Compact 3B-param multimodal model for efficient on-device reasoning

    ...It pairs a 3.4B-parameter language model with a 0.4B-parameter vision encoder, enabling it to understand both text and image inputs. This reasoning-tuned variant is optimized for tasks like math, coding, and other STEM-related problem solving, making it suitable for applications that require logical reasoning, analysis, or structured thinking. Despite its modest size, the model is designed for edge deployment and can run locally, fitting in ~16 GB of VRAM in BF16 or under 8 GB of RAM/VRAM when quantized. It supports dozens of languages, allowing it to function across global and multilingual contexts. ...
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  • 14
    A Crystal Space plugin that loads a star catalogue from file and draws it as a background for Crystal Space applications. The plugin can load from a xml file and be used in Crystal Space without any coding.
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  • 15
    PHPCheckclipse is an Eclipse-Plugin that enables Checkstyle features for PHP developement. This means PHPCheckclipse checks your code for coding standards while you are typing.
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  • 16
    JSMuDIT (JavaScript MultiDimensional Interactive Tables) builds tables with several (hierarchical) dimensions the user can dynamically interact with and customize using drilling, slicing, dicing, expand/collapse, sorting, color-coding, etc.
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  • 17
    Open source Application and Data Integration Platform that allows developers and end-users to integrate and transform information using a web-based drag-and-drop interface that doesn't require coding or programming skills.
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  • 18
    lastest

    lastest

    AI-supported visual verification and tests you can actually trust.

    Lastest.cloud is a free, open-source verification of development, self-hosted visual regression and end-to-end testing platform for web applications. An AI agent records you clicking through your running app and generates Playwright tests with multi-selector fallback. Replays are deterministic and token-free, so your CI/CD bill doesn't scale with your test suite. Lastest ships three diff engines side-by-side — pixel (pixelmatch), structural (SSIM), and perceptual (Butteraugli) — so...
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  • 19
    Synoptix IRC Services is a collection of IRC tools and applications. The entire project is written in PHP and includes a module coding approach. Utilizing a core set of functions, a user can add new services to their framework with little effort.
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  • 20
    cosmos

    cosmos

    Algorithms that run our universe | Your personal library of every algo

    ...This provides solutions in various languages spanning C, C++, Java, JavaScript, Swift, Python, Go and others. This work is maintained by a community of hundreds of people and is a massive collaborative effort to bring the readily available coding knowledge offline.
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  • 21

    CMS Bridges

    CMS Bridges - a common API for module developers

    ...We are open for help in the project. If you desire to see a common interface for module development then please consider obtaining write access permission to the git code repository. Coding has not begun and design of CMS Bridges is being considered. The outcome of these will allow module and theme developers the chance to create a module or theme that can be used for any CMS platform. This allows the module developer to not have to worry about the interface of each individual system but concentrate on the CMS Bridges interface.
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  • 22
    Gemopus

    Gemopus

    Stable fine-tuned Gemma model for structured, clear responses

    ...It also strengthens technical explanations, balancing rigor with accessibility. While not intended as a production-ready system, it serves as a high-quality local assistant for structured writing, summarization, and coding tasks. Limitations include potential hallucinations in complex domains and weaker performance compared to larger frontier models.
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  • 23
    GLM-4.5-Air

    GLM-4.5-Air

    Compact hybrid reasoning language model for intelligent responses

    ...The model is optimized for efficiency and deployment, delivering strong results across 12 industry benchmarks, with a composite score of 59.8. GLM-4.5-Air supports both English and Chinese, and is suitable for tasks involving text generation, coding, reasoning, and tool calling. Open-sourced under the MIT license, it is commercially usable and integrates with transformers, vLLM, and SGLang inference frameworks. It includes FP8 variants for faster inference and reduced memory requirements. Despite its smaller size compared to full GLM-4.5, GLM-4.5-Air maintains high performance.
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  • 24
    Open Voxel Engine for RTS

    Open Voxel Engine for RTS

    Java based Open source Voxel Engine for RTS games

    ...The aims of this project is to create easy to use tools to create worlds, terrains, and objects, with an easy to use Voxel editor, as well as provide an API for easy coding of most any style of strategy game one can think of.
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  • 25
    Nemotron 3.5 Lightning

    Nemotron 3.5 Lightning

    Efficient 30B MoE model for long-running agents and local inference

    ...Its NVFP4 quantization reduces deployment requirements while targeting NVIDIA hardware ranging from DGX Spark and RTX 5090 systems to H100, H200, and GB200 accelerators. NVIDIA also provides DSpark, Multi-Token Prediction, and DFlash speculative decoding methods to accelerate text generation. It supports English, coding languages, Spanish, French, German, Italian, and Japanese, and is intended for commercially deployable AI applications. The model can run on a single DGX Spark or H100 and integrates with inference frameworks including vLLM.
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