Search Results for "lightweight scripting language" - Page 49
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Showing 1230 open source projects for "lightweight scripting language"
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SilverScript
Lightweight scripting language written in C++
SilverScript is a new, platform-independent scripting language that can be used to script events in games and other applications. It is designed to be simple and easy to learn. Its API is written in object-oriented C++. -
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Compiler for the scripting language Tcl used to create native application out of tcl language input files. The native applications are significant faster and absolute safe in terms of protect your private property
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Trying to implement a lispy scripting language on top of Java in a minimalistic way: as small as possible but with a solid language design thats borrowed from common lisp.
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translategemma-4b-it
Lightweight multimodal translation model for 55 languages
translategemma-4b-it is a lightweight, state-of-the-art open translation model from Google, built on the Gemma 3 family and optimized for high-quality multilingual translation across 55 languages. It supports both text-to-text translation and image-to-text extraction with translation, enabling workflows such as OCR-style translation of signs, documents, and screenshots. -
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A world of warcraft emulator, being programmed by The World of Warcraft Emulation Project team. The software is written in C++, and using the KoNG scripting language and Maxwell backend. Supports Windows XP+ & *nix systems.
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EScript is an object oriented scripting language written in C++. (moved to http://github.com/EScript)
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[This project is not under active development any more] Gamadus intends to create an alternative for the Game Maker by Mark Overmars. It will be mostly compatible to it's features and the GML scripting language, compiled instead of interpreted, and
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gnopaste-ng is a free nopaste script based on PHP as scripting language, due the coder stopped working on gnopaste, gnopaste-ng is the next generation. At the moment it supports a MySQL database as a backend, we work on further DB backends.
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Disandria
An extensible game engine that targets RPGs.
This is for file downloads, and for discussion about the project. For source code, go to this project's homepage. From there, it will be obvious. -
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Redtail is a scripting engine library and script language. The Redtail library provides the ability to execute Scheme-like Redtail scripts from within an application, increasing flexibility.
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Zen3D
Zen3D is a 3D engine and editor for creating games
Zen3D is a full 3D engine and editor to create games. It supports DX12/11/GL/Vulkan & Metal. It has a bespoke scripting language called ZenScript. It includes RTX support for Raytraced or Hybrid rendering. -
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Narra Appointment Scheduler is an online web-based, multipurpose, multilingual appointment scheduler. The project itself is purely javascript and will work independently with any server-side scripting language and database.
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A simple, lightweight process platform remote administratable via web services. Functionality is extensible by installing "feature components" that can be created in any programming language as long as they are runnable on host system.
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A Scriptable 3D Graphics modeler and renderer. By defining points and shapes in a 3-dimensional coordinate system, one can create a scene very quickly and easily a simple scripting language. The scene can then be animated and be added special effects.
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Testing platform for forex strategies. A text editor to write your own strategies (Pascal scripting language). Set server params such as slippage, spread for currency pairs and other custom rules for the server side.
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Self‑Healing Localization
Self‑Healing Localization is a lightweight Python library.
Self-Healing Localization Layer (SHL) is a Python localization engine that automatically creates, synchronizes, and maintains language files throughout the lifetime of your application. -
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BLEURT-20-D12
Custom BLEURT model for evaluating text similarity using PyTorch
BLEURT-20-D12 is a PyTorch implementation of BLEURT, a model designed to assess the semantic similarity between two text sequences. It serves as an automatic evaluation metric for natural language generation tasks like summarization and translation. The model predicts a score indicating how similar a candidate sentence is to a reference sentence, with higher scores indicating greater semantic overlap. Unlike standard BLEURT models from TensorFlow, this version is built from a custom PyTorch... -
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Devstral Small 2
Lightweight 24B agentic coding model with vision and long context
Devstral Small 2 is a compact agentic language model designed for software engineering workflows, excelling at tool usage, codebase exploration, and multi-file editing. With 24B parameters and FP8 instruct tuning, it delivers strong instruction following while remaining lightweight enough for local and on-device deployment. The model achieves competitive performance on SWE-bench, validating its effectiveness for real-world coding and automation tasks. -
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Jan-v1-edge
Jan-v1-edge: efficient 1.7B reasoning model optimized for edge devices
Jan-v1-edge is a lightweight agentic language model developed by JanHQ, designed for fast and reliable on-device execution. It is the second release in the Jan Family and was distilled from the larger Jan-v1 model, retaining strong reasoning and problem-solving capabilities while reducing its computational footprint. The model was refined through a two-stage post-training process: Supervised Fine-Tuning (SFT) to transfer knowledge from Jan-v1, followed by Reinforcement Learning with Verifiable Rewards (RLVR) to optimize reasoning, tool use, and correctness. ... -
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ZAYA1-8B
Efficient MoE reasoning model for coding and math workloads
ZAYA1-8B is a compact Mixture-of-Experts reasoning model developed by Zyphra, designed to deliver unusually high intelligence density with fewer than 1 billion active parameters. The model contains 8.4B total parameters with around 760M active during inference, allowing it to achieve strong reasoning, mathematics, and coding performance while remaining lightweight enough for efficient local or on-device deployment. ZAYA1-8B is optimized for long-form reasoning and test-time compute... -
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Ministral 3 8B Instruct 2512
Compact 8B multimodal instruct model optimized for edge deployment
Ministral 3 8B Instruct 2512 is a balanced, efficient model in the Ministral 3 family, offering strong multimodal capabilities within a compact footprint. It combines an 8.4B-parameter language model with a 0.4B vision encoder, enabling both text reasoning and image understanding. This FP8 instruct-fine-tuned variant is optimized for chat, instruction following, and structured outputs, making it ideal for daily assistant tasks and lightweight agentic workflows. Designed for edge deployment, the model can run on a wide range of hardware and fits locally on a single 12GB GPU, with the option for even smaller quantized configurations. ... -
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Lfant
A small Game Engine project.
...The intent of use for this system is that most of the time you won't have super specific entities, only child or grandchild classes, but have many components that can be added, removed, or even swapped between Entities, at runtime. I am also using the Bullet physics engine (with some modifications here and there), a portion of Boost, GLEW, GLFW, GLM, Squirrel (scripting language), and TinyXML2. -
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Ministral 3 3B Base 2512
Small 3B-base multimodal model ideal for custom AI on edge hardware
Ministral 3 3B Base 2512 is the smallest model in the Ministral 3 family, offering a compact yet capable multimodal architecture suited for lightweight AI applications. It combines a 3.4B-parameter language model with a 0.4B vision encoder, enabling both text and image understanding in a tiny footprint. As the base pretrained model, it is not fine-tuned for instructions or reasoning, making it the ideal foundation for custom post-training, domain adaptation, or specialized downstream tasks. ... -
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Ministral 3 3B Instruct 2512
Ultra-efficient 3B multimodal instruct model built for edge deployment
Ministral 3 3B Instruct 2512 is the smallest model in the Ministral 3 family, offering a lightweight yet capable multimodal architecture designed for edge and low-resource deployments. It includes a 3.4B-parameter language model paired with a 0.4B vision encoder, enabling it to understand both text and visual inputs. As an FP8 instruct-fine-tuned model, it is optimized for chat, instruction following, and compact agentic tasks while maintaining strong adherence to system prompts. ... -
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Ministral 3 3B Reasoning 2512
Compact 3B-param multimodal model for efficient on-device reasoning
Ministral 3 3B Reasoning 2512 is the smallest reasoning-capable model in the Ministal-3 family, yet delivers a surprisingly capable multimodal and multilingual base for lightweight AI applications. 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. ...
