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Showing 4 open source projects for "ipad"
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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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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fanqiang
Over the Wall - Science Online
Over the wall-Scientific Internet, over-the-wall tool, over-the-wall tutorial project library. -
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OmniEdge
Bringing intranet on the internet with Zero-Config Mesh VPNS.
OmniEdge is an Open source p2p layer 2 , zero-config mesh VPN infrastructure, a traditional VPN, AWS VPC, Ngrok, DDNS alternative. No central server, easy to scale with less maintenance. What happens in intranet, stays in in intranet. -
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::phpMpReloaded:: The webclient for mpd
PHP Webclient Collection for MPD (music player daemon)
This seems to be just another PHP Web Client (MPC) for the famous music server project MPD (Music Player Daemon). But it is the continuation of the existing projects phpMp, phpMp+, phpMp2, phpMp3 and thus as stable as them, although new an shiny. Simple and easy to use. Suggestions and help are welcome! Why should I donate or leave any kind of feedback? As most developers know, open source software cannot be measured in amounts of money. Because the time spent to provide the current state... -
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Homedisk
Family-focused free software
...It does not need to install. It also can be run from U-disks and portable hard drives. It allows mobile phones and tablet computers to access (including the iPhone and iPad). It supports English, Chinese, French, Russian and Spanish, the family members living in different countries can use the same system. -
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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