Search Results for "typing"
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Showing 15 open source projects for "typing"
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Paessler: Easy to Use With Enterprise Power. Free TrialYou shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Enferno
Modern Flask framework optimized for AI-assisted development
Enferno is a framework for building developer-first cloud backends using PostgreSQL and TypeScript. It offers primitives for defining data models, APIs, and access rules directly in code, enabling quick iteration and deployment. Enferno is designed to accelerate SaaS and internal tool development by combining the benefits of traditional backends with developer ergonomics. -
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Vite
Next generation frontend tooling. It's fast!
...Pre-configured Rollup build with multi-page and library mode support. Rollup-superset plugin interface shared between dev and build. Flexible programmatic APIs with full TypeScript typing. Vite (French word for "quick", pronounced /vit/, like "veet") is a new breed of frontend build tooling that significantly improves the frontend development experience. It consists of two major parts. A dev server that serves your source files over native ES modules, with rich built-in features and astonishingly fast Hot Module Replacement (HMR). ... -
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DbTpl
Command line tool to generate idiomatic Go code for SQL databases
dbtpl is a Go-based tool that brings templated SQL into your codebase in a clean and structured way. It allows developers to define raw SQL queries in .tpl.sql files and compile them into Go code with strong typing and minimal overhead. By combining SQL’s power with Go’s safety and performance, dbtpl is ideal for teams that want full SQL control without sacrificing maintainability. -
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Isar Database
Extremely fast, easy to use, and fully async NoSQL database
Minimal setup, Easy to use, no config, no boilerplate. Just add a few lines of code to get started. Store hundreds of thousands of records in a single database and query them efficiently and asynchronously. Isar has a rich set of features to help you manage your data. Composite & multi-entry indexes, query modifiers, JSON support and more. Isar has built-in full-text search. Create a multi-entry index and search for records easily. Isar ACID compliant and transactions are handled... -
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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Gentry is the civilized way to enter data into a MySQL database. I wrote this progam as I was tired of typing "insert into table values (..." statements over and over and also wanted a chance to learn GTK. This program will connect to a database and tab
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schemats
Generate typescript interface definitions from SQL database schema
Schemats is a TypeScript code generator that creates type definitions from existing PostgreSQL schemas. It helps developers working with raw SQL or query builders to maintain strong typing and avoid runtime errors. By analyzing database schemas, Schemats bridges the gap between relational databases and TypeScript-based applications. -
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DbPipeline.NET
OR-Mapper for C# and VB.NET that is better than Entity Framework
The DbPipeline.NET OR-Mapper library was created out of frustration of the shortcomings of Entity Framework in handling stateless web applications and hiding of SQL from skilled developers. The DbPipeline.NET Database Interface Library shields you, the programmer, from having to learn and work with all the ADO.NET or Entity Framework database objects at a low level, and encapsulates all this power into objects with many additional capabilities and features that are not offered in the... -
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FillMAd
Fill Mail Addresses: Manual entry of addresses to database, export
...Manage the e-mail addresses you need for a mailing: input e-mail address, company, contact, etc and store in your (local) MySQL database. The input of the e-mail has some minor format-control and auto-complete which saves time typing. Make a selection to do a CSV-export to external online mailinghost. Keep the control over your addresses that are basicly stored on your own storage and not dependent from some provider. Keep metadata for yourself: entry date, collected by, source, intrest/productgroup instead of leaving them "in the cloud" for misuse by others. ... -
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Griffith is a film collection manager application. Adding items to the movie collection is as quick and easy as typing the film title and selecting a supported source. Griffith will then try to fetch all the related information from the Web.
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Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Visual SQL Builder is a graphical PostgreSQL client written in java that will allow users to Visually build a complete SQL statement, without typing any clause. Building complex SQL queries in an easy way, reducing debugging, syntax and logic errors.
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ShelveDB is a pure python SQL-like database engine, where queries are preformed in analogous python syntax. It uses only built-in modules and shelve as the data structure. It has regular expression searching, plus native python typing and type checking.
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Griff is a collection of projects including: (i) Sarl3 - Sets and Relations Library for doing Formal Concept Analysis (FCA); (ii) RJL a progamming language combining both static and dynamic typing, and (iv) PIG a simplistic triple store.
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Embedding the meaning of the datas in the storage can improve the consistency of the stored information and simplify the its exchange: the semantic structure is defined through a strong semantic typing of the data and the use of external dictionaries.
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