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Showing 31 open source projects for "work time"
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Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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Streamline Azure Security with Palo Alto Networks VM-SeriesImprove your security posture and reduce incident response time. Use the VM-Series to natively analyze Azure traffic and dynamically drive policy updates based on workload changes.
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Slick database
Slick (Scala Language Integrated Connection Kit) is a modern database
Slick is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred. You can write your database queries in Scala instead of SQL, thus profiting from the static checking, compile-time safety and compositionality of Scala. Slick features an extensible query compiler which can generate code for different backends. ... -
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SQLModel
SQL databases in Python, designed for simplicity, compatibility
SQLModel, SQL databases in Python, designed for simplicity, compatibility, and robustness. SQLModel is a library for interacting with SQL databases from Python code, with Python objects. It is designed to be intuitive, easy to use, highly compatible, and robust. SQLModel is based on Python-type annotations, and powered by Pydantic and SQLAlchemy. -
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Realm Swift
Realm is a mobile database: a replacement for Core Data & SQLite
Realm is a fast, scalable alternative to SQLite with mobile to cloud data sync that makes building real-time, reactive mobile apps easy. Build data-rich apps without draining device resources with Realm's lazy loading and zero-copy architecture. The object-oriented data model lets developers work directly with native objects – no ORMs or DAOs are needed. Real-time mobile to cloud data sync makes it easy to build interactive features that keep data up-to-date across multiple devices, users, and the backend. ... -
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Apache Iceberg
Apache Iceberg
...Iceberg brings the reliability and simplicity of SQL tables to big data while making it possible for engines like Spark, Trino, Flink, Presto, Hive, and Impala to safely work with the same tables, at the same time. The core Java library that tracks table snapshots and metadata is complete, but still evolving. Current work is focused on adding row-level deletes and upserts, and integration work with new engines like Flink and Hive. The Iceberg format specification is being actively updated and is open for comment. ... -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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StarRocks
StarRocks is a next-gen sub-second MPP database for full analytics
...From canceled orders to updated items, your analytics applications can easily handle them with StarRocks. From streaming data to change data capture, StarRocks meets the data ingestion demands of real-time analytics. Scale storage and computing power horizontally and support tens of thousands of concurrent users. All of your BI tools work with StarRocks through standard SQL. StarRocks provides superior performance. It is also a unified OLAP covering most data analytics scenarios. -
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realm dotnet
Realm is a mobile database: a replacement for SQLite & ORMs
Realm is a fast, scalable alternative to SQLite with mobile to cloud data sync that makes building real-time, reactive mobile apps easy. Build data-rich apps without draining device resources with Realm's lazy loading and zero-copy architecture. The object-oriented data model lets developers work directly with native objects – no ORMs or DAOs are needed. Real-time mobile to cloud data sync makes it easy to build interactive features that keep data up-to-date across multiple devices, users, and the backend. ... -
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Keyv
Simple key-value storage with support for multiple backends
Keyv is a simple key-value storage system that supports multiple backends. It's designed to be a simple and consistent way to work with key-value stores. -
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LinDB
LinDB is a scalable, high performance, high availability database
...Schema-free multi-dimensional data model with Metric, Tags, and Fields; The LinQL is flexible yet handy for real-time data analytics. Horizontal scalable is made simple by adding more new broker and storage nodes without too much thinking and manual operations. And the tags-based sharding strategy resolves the hotspot problem. LinDB is designed to work under a Multi-Active IDCs cloud architecture. The compute layer of LinDB, called brokers, supports efficient Multi-IDCs aggregation query. -
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OpenRefine
A free, open source, powerful tool for working with messy data
...When you're ready, then that is the only time the data will be shared outside of your computer. OpenRefine is available in over 15 languages, is cross-platform and part of the Code for Science & Society. -
Secure File Transfer for Windows with Cerberus by RedwoodCerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
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ObjectBox Java Database
Java and Android Database - fast and lightweight without any ORM
...ObjectBox’ out-of-the-box synchronization makes data available when needed where needed, eliminating data islands and improving data flow. Develop applications that work on- and offline, independently from a constant Internet connection, providing an “always-on”-feeling. Accelerate time-to-market with ObjectBox’ easy and super fast native language APIs, that bring the fun back to coding. ObjectBox reduces mobile network and cloud costs more than 40% by persisting data locally (on the edge), and syncing with low overhead and high efficiently. -
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Jest Preview
Debug your Jest tests. Effortlessly
...Write tests in Jest and see the changes reflects in browser in a few milliseconds. You can use Jest Preview with any testing libraries and frontend frameworks. Don't waste time guessing what is your UI looks like. Let's Jest Preview visualize it in a browser for you! When writing tests using Jest, we usually debug by reading the HTML code. Sometimes, the HTML is too complicated to visualize the UI in our head. jest-preview previews your Jest tests right in a browser, then you can see your actual UI visually, which helps you write and debug Jest tests faster. jest-preview is initially designed to work with Jest and react-testing-library. ... -
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db
Data access layer for PostgreSQL, CockroachDB, MySQL, SQLite, etc.
...If you feel like writing tons of simple SELECT * statements by hand is not the best use of your time, then upper/db is the library for you. We've designed the API with productivity and readability in mind. -
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RxDB
Client side, offline-first, reactive database for JavaScript apps
RxDB (short for Reactive Database) is a NoSQL-database for JavaScript Applications like Websites, hybrid Apps, Electron-Apps, Progressive Web Apps and Node.js. Reactive means that you can not only query the current state but subscribe to all state changes like the result of a query or even a single field of a document. This is great for UI-based real-time applications in a way that makes it easy to develop and also has great performance benefits. To replicate data between your clients and... -
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SuperDuperDB
Integrate, train and manage any AI models and APIs with your database
Build and manage AI applications easily without needing to move your data to complex pipelines and specialized vector databases. Integrate AI and vector search directly with your database including real-time inference and model training. Just using Python. A single scalable deployment of all your AI models and APIs which is automatically kept up-to-date as new data is processed immediately. No need to introduce an additional database and duplicate your data to use vector search and build on... -
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TanStack DB
A reactive client store for building super fast apps
TanStack DB (beta) is a lightweight, embedded database-like library designed to manage structured data directly in client or server-side JavaScript environments, offering stateful data stores that work seamlessly with the TanStack ecosystem. Blazing‑fast query engine for sub‑millisecond live queries, joins & aggregates. Fine‑grained reactivity to minimize component re‑rendering. Robust transaction primitives for optimistic mutations with sync & lifecycle support. Normalized data model that... -
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Tarantool
Get your data in RAM, get compute close to data, enjoy the performance
In OLTP scenarios, Tarantool can be used instead of relational databases. Such a solution will work many times faster. With Tarantool, you can replace the traditional bundle of database & cache and reduce operational costs. Tarantool is tolerant of write-heavy loads. It also allows keeping full-featured applications close to the data, thus reducing data access network latency to zero. The open-source Community Edition lets you develop applications and speed up a system in operation. It... -
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Motor
The async Python driver for MongoDB and Tornado or asyncio
Motor is an asynchronous Python driver for MongoDB that enables developers to work with MongoDB using non-blocking I/O patterns, making it ideal for high-performance and scalable applications. Built on top of Python’s Tornado and asyncio frameworks, Motor lets you issue database operations without blocking the event loop, enabling concurrency in web servers, real-time systems, and microservices. It provides a familiar API surface similar to the official synchronous PyMongo driver, so you can migrate or write MongoDB code in Python without having to learn a completely new interface. ... -
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Ebean
Ebean ORM
...Get 100% test coverage on all the features of the database we use. We can build queries using type safe query beans. IDE auto-complete when writing queries, compile time checking and it's FUN. Optimize queries to only fetch what we need (partial objects). Automatically avoid N+1 via a smart load context. -
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GETL
ETL engine based on Groovy
...The simpler the class hierarchy, the easier solution; 2. The data structures tend to change over time, or not be known in advance, working with them must be maintained; 3. All routine work ETL should be automated wherever possible; 4. Compiling the code on the fly bail speed and reserve for the optimization; 5. Sophisticated class hierarchy guarantee easy connection of other open source solutions. -
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pg_flame
A flamegraph generator for Postgres EXPLAIN ANALYZE output
...Flamegraphs have been used to visualize Oracle database query plans and query executions, proving useful for debugging slow database queries. Pg_flame is an extension of that work for Postgres query plans. It generates a visual hierarchy of query plans. This visualization identifies the relative time of each part of a query plan. -
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MongoDB Shell Enhancements
MongoDB Shell Enhancements for Hackers
These enhancements are useful to me but they don't make sense for everyone. Feel free to tweak to your desire and please submit feedback or pull requests. Only tested with non-EOL versions of MongoDB server (currently 3.4+) Does not work with mongo shell or MongoDB servers < 2.4. Updates called on existing cursors are experimental. Verbose shell is enabled by default (config: verbose_shell). Highlight query time if verbose shell is enabled. Default indent is 2 spaces instead of tab (config: indent). Disable notification of "Type 'it' for more". Option to sort document keys (config: sort_keys). ... -
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Otter
Alibaba distributed database synchronization system
In Alibaba B2B company, because of the characteristics of the business, the sellers are mainly concentrated in the country, and the buyers are mainly concentrated in foreign countries, so it has derived the demand for the computer room in Hangzhou and the United States. At the same time, in order to improve the user experience, the structure of the entire computer room is double-A Both can be written, and thus a product like otter was born. The first version of otter can be traced back to... -
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NoOra is a database deployment tool which can be used to automate the database deployment cycle and is designed for agile and or devops teams. The supported database platforms are Oracle and Mysql. The support for Postgresql is work in progress. Feedback is more then welcome.
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Devmap
Web developer development map
These are books for all time. The best of its kind and important for programmers of all directions. Most of the best courses, reference and training materials are available in English. If difficulties arise, then with knowledge of the English language, the chances of finding an answer on the World Wide Web are higher. Also, if you want to work in a cool prestigious campaign, then without English in any way. -
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node-orm2
Object Relational Mapping
Supported: 4.0 + If using Nodejs >= 14 & Postgres, you must use pg driver >= 8.1. v7 doesn't work correctly (tests time out). Tests are run on Travis CI If you want you can run tests locally. Create Models, sync, drop, bulk create, get, find, remove, count, aggregated functions. Create Model associations, find, check, create and remove. Define custom validations (several builtin validations, check instance properties before saving - see enforce for details).
