Search Results for "osx"
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4 projects for "osx" with 1 filter applied:
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Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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The TuxCap Games Framework is a GNU/Linux and Mac OSX port of the PopCap Games Framework used for 2D game development. It comes with PyCap Python bindings, a fast 2D physics engine, a particle engine, widgets and many documented examples.
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DAT_Analyzer
striatal subregional analysis tool for dopamine transporter PET
...DANA utilizes coregistration and spatial normalization functions in SPM8 and therefore requires MATLAB 7.1 (or higher) and SPM8 in 64bit environment with more than 8 GB RAM. MAC OSX OS is recommended. It includes various custom templates for conventional MR, DARTEL MR, two type of CT, and ligand specific PET and also includes various types of striatal subregional VOI templates. It supports five types of spatial normalization methods. (This project will be uploaded soon. It's now under construction.) -
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Nepali Romanized Pro (for MacOS / OSX)
Nepali Romanized Pro Keyboard Layout with installer for Mac OSX
This is a package that installs Unicode Nepali Romanized Keyboard Layout on a Mac OSX machine. Since the Keyboard Layout that comes with OSX is pretty much limited and of Traditional type, this is supposed to be a replacement for a much better experience. -
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Monitor user activity on a MAC OSX machine, and do interesting things with the data, like snap photos, estimate productivity, etc.
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Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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