Search Results for "python server"
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Showing 4 open source projects for "python server"
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Earn up to 15% annual interest with Nexo.Put idle assets to work with competitive interest rates, borrow without selling, and trade with precision. All in one platform. Geographic restrictions, eligibility, and terms apply.
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Earn up to 15% annual interest with Nexo.Generate interest, borrow against your crypto, and trade a range of cryptocurrencies — all in one platform. Geographic restrictions, eligibility, and terms apply.
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pyFileSearcher
simple searching tool for big fileservers
pyFileSearcher was designed to be lightweight, easy to use, but capable of handling a large volume of files tool. A tool that I personally could use on large corporate servers to find out - which files have taken all my space in the last few days? It's free, it's opensource, it's for linux and windows. The program is written in Python 3 using the Qt5. -
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Meresco is both an OAI Data Provider and a Service Provider. SourceForge is only used to host the source control (subversion). Sources: http://sources.meresco.org/ Binaries: http://repository.cq2.org/ Mail: http://groups.google.com/group/meresco
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Nucular Archiving System for creating full text indices for fielded data. Python API, web, and command line interfaces. Fast. Very light weight. Concurrent read/writes with no possible locking issues. No server process. Proximity. Facets. Funny name.
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A program designed to walk the Windows registry and match keys, values, and data with regular expressions. Matched items can be deleted or the branch they are on can be pruned to a particular depth.
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SoftCo: Enterprise Invoice and P2P Automation SoftwareSoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.
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