Hal9
Happycapy
Wordware
Vizzu
Gumloop
Redash
Relay.app
deck.gl
DevDock
Docker Desktop
DevDock keeps local projects in one sidebar and gives each project a focused workspace for its overview, commands, run history, databases, security checks, settings, and tools. The Today view surfaces recent projects and saved daily workflows. Inside a project, DevDock connects registered folders, detected technologies, Docker and Git state, database operations, local security findings, and the actions used to get back to work.
Hal9 DevDockNo features have been listed yet.
DevDock's answer:
DevDock brings local software projects, saved commands, Docker environments, database operations, project health, and security checks into one Windows desktop workspace. Each project has a focused view for its overview, commands, run history, databases, security checks, settings, and tools, while the Today view surfaces recent projects and saved daily workflows.
DevDock's answer:
DevDock is a fit for developers who switch between local codebases and want repeatable project context in one place. It connects registered folders, detected technologies, saved commands, Git and Docker state, database operations, local security findings, and project health checks without requiring repositories to be moved into one folder or uploaded to a service.
DevDock's answer:
DevDock is primarily for Windows developers who switch between local codebases, work across frontend, backend, mobile, and infrastructure repositories, or want repeatable local setup and project workflows without uploading source code.
Based on our record, Hal9 seems to be more popular. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
At https://hal9.com, we built components for data science com native JavaScript to avoid the waiting times and download overhead if Pyodide. We found out the best tools for doing data science in the browser are a combination of Arquero and D3 and TensorFlow.js. At least for now. We wrote our findings of this and many other libraries here: https://news.hal9.com/posts/data-science-with-javascript. - Source: Hacker News / about 4 years ago
Https://hal9.com helps data scientists build faster web applications. It uses WebGL and WebAssembly to process larger datasets, perform inference in the browser with TensorFlow.js, and enables running Python code with Pyodide. - Source: Hacker News / over 4 years ago
If you want to build a web application on top of your ML project, give https://hal9.com a shot. We designed Hal9 with ease of use for deployment and maximum compatibility with web technologies that enable you to build ML apps with React, Vue, etc. We launched a couple months ago but could use some early feedback and users. Thank you! - Source: Hacker News / over 4 years ago
You can find more about this project at https://hal9.com โ We allow you to edit any block with JavaScript and to export the analysis as as embeddable HTML. You can also use Python or NodeJS if you need more advanced functionality. Source: over 4 years ago
We are working in https://hal9.com which is language agnostic and allows you to compose different programming languages; however, we are focused at the moment at 1D-graphs but have plans to support 2D-graphs in the coming weeks. If you want a demo or just time to chat, I'm available at javier at hal9.ai. - Source: Hacker News / over 4 years ago
Happycapy - The agent-native computer, for the rest of us
Docker Desktop - Docker Desktop is a one-click-install application that lets you to build, share, and run containerized applications and microservices.
Wordware - web-hosted IDE for building AI agents
Vizzu - Vizzu lets you use animated charts to share insights in complex data sets as self-explanatory stories.
Gumloop - Automate Any Workflow with AI
Redash - Data visualization and collaboration tool.