Developer Tools2 months ago
GitHits - Version-aware index for public open-source code and packages
Search indexed open-source code and packages with version history, metadata, and dependency information.
@Jack_Timonen · X
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71 projects
Search indexed open-source code and packages with version history, metadata, and dependency information.
@Jack_Timonen · X
Convert between JSON, CSV, Excel, XML, YAML and other data formats directly in your browser.
@NaimBiswas11 · X
Developers work with different data formats every day — JSON, CSV, XML, YAML, and Excel files are everywhere. But finding a simple, fast, and privacy-friendly way to convert and process these formats is not always easy.
An AI ASO loop for App Store and Google Play. Audit, research, optimize, push, and verify your rank moved. Free MIT plugin, or a live hosted agent that runs the loop on a schedule.
@ShipASO · X
Hopefully will help some mobile app builders get traction in the App Store and Play Store. Offering free subscriptions to the first five (5) founders looking to offload that work. Use coupon code SHIPASOLAUNCH
Private, schema-constrained AI for your product data. Ghost BI turns product metadata into reliable intelligence APIs your marketing, sales, finance, and engineering teams can actu
@ZacTheDev · X
Upload an image to detect if it's AI-generated using probabilistic analysis and metadata checks.
bingkunzhao · V2EX
开发了一个识别是否是 AI 生成图片的工具 https://imageaichecker.com/ 上传图片，可以判断是否是 AI 生成的，每天 3 次免费
Turn songs you love into a two-sided digital keepsake with an optional memory place and up to twelve Polaroid-style photographs. MXT8 stores metadata, not music audio.
@Alan_John_Riley · X
Open-source ecosystem for discovering, evaluating, and publishing AI tools with a sandboxed testing framework.
@BobbySBX · X
We just dropped Assay v0.2.6, the open source evaluation engine powering Most registries judge an AI tool by its README. We built Assay to actually run skills, MCP servers, and plugins inside isolated sandboxes with live models to observe what they do before you install them. What is new in v0.2.6: - NVIDIA API Catalog provider: Native support is here, allowing you to use NVIDIA driver and judge models to run behavioral benchmarks and multi-tier audits. - Zero runtime dependencies: Still a self-contained ~240 KB tarball that speaks directly to @nvidia , @AnthropicAI , @OpenAI , @OpenRouter , and local HTTP endpoints without SDK bloat. - Adversarial and static checks: Out of the box verification against prompt injection, tool scope creep, destructive shell commands, and supply chain drift. Every tool on is tested through Assay. That means 4,200+ skills, MCP servers, and plugins are commit-pinned, graded on actual runtime behavior, and rea
Create branded developer portals from API specs and documentation with AI-assisted writing.
@jitendraballa · X
API to extract tables and structured data from documents for AI agents.
g418572664 · V2EX
做了一个文档解析与记忆工具，专门辅助给传统行业做 AI 落地的老哥 现在 AI+的工作还挺常见的，就像大佬们说的，“所有行业的产品可能都会用 AI 重新做一遍”。最常见的就是各种 agent ，说要用 AI 赋能传统行业啥的，代替人类专家去处理海量的复杂资料、进行深度分析并做出决策。 举个例子，金融行业的“智能审计与尽调 Agent”。 过去，银行或投资机构想要给一家企业贷款或投资，需要人类审计师去读几十份、每份几百页的招股书和财务报表。现在虽然有了 AI ，但把文件一股脑全丢给它是不现实的，且不说烧 token 的问题，这些文档里有无数的跨行、跨列单元格表格，普通工具一拉，表格数据全串行了。如果 AI 把“第一季度利润”和“第二季度支出”的信息碎在一块，那得出的财务分析就完蛋了。 所以，现在要真想开发出一个能干活，还确保正确率的 agent ，就需要一个专业的、AI-native 的解析工具，把复杂的表结构和章节层级完整还原出来。我做的工具 Knowhere 就是干这个的： https://knowhereto.ai/?utm_source=v2ex 它能把复
Browser-based tools for formatting, encoding, testing, and converting data.
4seasons · V2EX
devfun.org - 开发者（网络）工具集合 ## 访问地址 https://devfun.org ## 主要功能 - 本机 IPv4/IPv6 网络检查及 IP 信息查询 - 站点可访问性检查（支持全球区域） - 代理检查及代理全球出口检查 - 各类编解码、格式测试、文本格式化、校验密钥生成、文本处理、转换工具 欢迎大家使用，提供建设性的建议和意见！
Enter birth info to generate a personalized Human Design intelligence dossier analyzing identity architecture and wealth pathways.
@EluraCode · X
Check out what I just built with Lovable!
A GitHub-backed wiki for Open Knowledge Format bundles
aiobe · HN
I built Commonplace because I wanted to learn more about Google's Open Knowledge Format for knowledge sharing with human and agents. At the same time, Atlassian announced it will start using customer cloud data to train its AI models (opt-out is Enterprise-only), which made a self-hosted Confluence alternative feel timely. The idea: - Use a Git repository that follows Open Knowledge Format with plain Markdown - Commonplace is just a stateless frontend on top (nice UI, but no database, no backups