Search Results for "mysql-bind"
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Showing 4 open source projects for "mysql-bind"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Earn up to 16% annual interest with Nexo.Generate interest, access liquidity without selling, and execute trades seamlessly. All in one platform. Geographic restrictions, eligibility, and terms apply.
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YetiForce CRM
The most affordable CRM system according to Capterra
Are you looking for a system to boost your sales? Do you want to improve your relationships with customers? Do you want to contribute to the fastest growing open source project on GitHub? You can use YetiForce completely free of charge. With YetiForce’s help you will manage 12 business processes in your company, no matter the size. The vast number of features available for free helped us win the first place in Capterra’s “Most Affordable CRM Software” ranking. YetiForce’s open... -
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TBIS
Total Business Information System (TBIS)
Scope : Combination of CRM+ERP+Score Card/KPI Database : MySQL + Oracle Language : PHP Platform : Linux/Unix/Windows mail me at shukrijasin[at]gmail.com if you want to access the demo account for TBIS NEW new purchasing system :- PURCHA demo link :- http://sga-systems.com/purcha login :- oop/123 hamsani/123 (admin) -
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ACMS is PROFESIONAL, FULL WORKING, CONTENT MENAGER SYSTEM... Acms CMS is a modern building on the old version GWPE. Acms has a LiveUpdate - updates online. Web Page Engine is a Dynamic Content Web Page Engine like phpWebSite Content Management System
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This project allow to maintain large number of DNS Zone from the registry to zone contents. This project will be divided into 5 sub-projects (core, administrative, billing, contents, transfert). Bind (named) configuration generator.
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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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