Search Results for "logisim-generic-2.7.1.jar"
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Showing 4 open source projects for "logisim-generic-2.7.1.jar"
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The AI workplace management platformBy combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
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Premier Construction SoftwareRated #1 Construction Accounting Software by Forbes Advisor in 2022 & 2023. Our modern SAAS solution is designed to meet the needs of General Contractors, Developers/Owners, Homebuilders & Specialty Contractors.
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ASN.1 types and codecs (BER, CER, DER) implementation in Python programming language. A collection of various ASN.1-based protocols data structures is supplied in a dedicated Python package. Project moved to GitHub: https://github.com/etingof/pyasn1
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A toolkit of nitty-gritty classes from real-life projects. Contains generic snippets along with things like server-side DOM implementation or RSA or code generation tools.
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A powerfull, generic and extensible data modeling tool. Features: diagram oriented, schema generation and reverse engineer to any relational DB, import and export to many formats, export diagram to picture or vectorial format, printing, documetation, etc
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Mamba is a extensible xml templates preprocessor wrote in Python. Using it, you can rapidly develop powerful applications ready to integrate with the internet. It can be used to work as a generic CGI program or for generate content.
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Skillfully - The future of skills based hiringSkillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
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