Search Results for "ios time machine"
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Showing 21 open source projects for "ios time machine"
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SQLDelight
SQLDelight - Generates typesafe Kotlin APIs from SQL
SQLDelight is a multiplatform Kotlin SQL library developed by Square. It generates typesafe Kotlin APIs from your SQL statements and integrates seamlessly with Android, iOS, JVM, and web platforms. SQLDelight ensures compile-time verification of SQL queries and supports migrations, transactions, and coroutines, making it a robust solution for cross-platform persistence. -
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EJDB
Embeddable JSON Database engine C library
...All documents in collection are sorted by their primary key in descending order. So if you use auto generated keys (ejdb_put_new) you may be sure what documents fetched as result of full scan query will be ordered according to the time of insertion in descendant order, unless you don't use query sorting, indexes or inverse keyword. -
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QuestDB
An open source SQL database designed to process time series data
QuestDB is a high-performance, open-source SQL database for applications in financial services, IoT, machine learning, DevOps and observability. It includes endpoints for PostgreSQL wire protocol, high-throughput schema-agnostic ingestion using InfluxDB Line Protocol, and a REST API for queries, bulk imports, and exports. QuestDB implements ANSI SQL with native extensions for time-oriented language features. These extensions make it simple to correlate data from multiple sources using relational and time series joins. ... -
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Supabase
The open source Firebase alternative
...Type definitions built directly from your database schema. Use Supabase in the browser without a build process. Develop locally and push to production when you're ready. Manage Supabase projects from your local machine. -
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CrateDB
CrateDB is a distributed and scalable SQL database
CrateDB is a distributed SQL database designed for massive machine data and real-time analytics. It combines the scalability and performance of NoSQL with the power and simplicity of SQL, allowing for horizontal scaling, full-text search, and complex queries over large datasets. Built in Java and powered by Elasticsearch and Lucene, CrateDB is optimized for high-velocity data ingestion and dynamic queries. -
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Memgraph
Open-source graph database, tuned for dynamic analytics environments
A high-performance, in-memory graph database designed for real-time analytics and complex network data processing. -
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Cortex
A horizontally scalable, multi-tenant, long term Prometheus
Horizontally scalable, highly available, multi-tenant, long-term storage for Prometheus. Durably store data for longer than the lifetime of any single machine, and use this data for long-term capacity planning. Cortex makes your PromQL queries blazin' fast through aggressive parallelization and caching. Cortex gives you a global view of Prometheus time series data that includes data in long-term storage, greatly expanding the usefulness of PromQL for analytical purposes. Cortex runs across multiple machines in a cluster, exceeding the throughput and storage of a single machine. ... -
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H2 Database
H2 is an embeddable RDBMS written in Java
...This database can be used in embedded mode, or in server mode. ou may get a security warning from the firewall. If you don't want other computers in the network to access the database on your machine, you can let the firewall block these connections. Only local connections are required at this time. -
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level
Universal abstract-level database for Node.js and browsers
...TypeScript type declarations are included and cover the methods that are common between classic-level and browser-level. Usage from TypeScript requires generic type parameters. At the time of writing, level works in Node.js 12+ and Electron 5+ on Linux, Mac OS, Windows and FreeBSD, including any future Node.js and Electron release thanks to Node-API, including ARM platforms like Raspberry Pi and Android, as well as in Chrome, Firefox, Edge, Safari, iOS Safari and Chrome for Android. -
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Lesan
New way to create web server and NoSQL data model
Lesan is a multilingual text processing and translation library designed for natural language processing (NLP) applications. It provides tools for text normalization, tokenization, and translation across multiple languages. -
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MatrixOne
Hyperconverged cloud-edge native database
MatrixOne is a future-oriented hyperconverged cloud & edge native DBMS that supports transactional, analytical, and streaming workload with a simplified and distributed database engine, across multiple data centers, clouds, edges and other heterogeneous infrastructures. A monolithic database engine is designed to support hybrid workloads: transactional, analytical, streaming, time-series, machine learning, etc. MatrixOne supports seamless workload migration and bursting among different locations and infrastructures. MatrixOne provides industry-leading latency control with optimized consistency protocol. Accelerated queries supported by patented vectorized execution as well as optimal computation push-down strategies through factorization techniques. ... -
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Grafana
Leading open-source visualization and observability platform
Grafana OSS is the leading open-source platform for visualization and observability. It enables teams to query, visualize, alert on, and explore telemetry data from multiple sources in a single interface. With support for 100+ data source plugins—including Prometheus, Loki, Elasticsearch, InfluxDB, SQL/NoSQL databases, and OpenTelemetry—Grafana helps teams correlate metrics, logs, and traces across applications and infrastructure. Users can build interactive dashboards with rich... -
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IoTDB
Apache IoTDB
Apache IoTDB (Database for Internet of Things) is an IoT native database with high performance for data management and analysis, deployable on the edge and the cloud. Due to its light-weight architecture, high performance and rich feature set together with its deep integration with Apache Hadoop, Spark and Flink, Apache IoTDB can meet the requirements of massive data storage, high-speed data ingestion and complex data analysis in the IoT industrial fields. In the scene of factories, there... -
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Vespa
The open big data serving engine
...Recommendation, personalization and targeting involves evaluating recommender models over content items to select the best ones. Vespa lets you build applications which does this online, typically combining fast vector search and filtering with evaluation of machine-learned models over the items. This makes it possible to make recommendations specifically for each user or situation, using completely up to date information. -
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NoisePage
Self-Driving Database Management System
...We seek to create a system that not only able to optimize the current workload, but also to predict future workload trends and prepare itself accordingly. Our plan is for NoisePage to support the most common database tuning techniques without requiring humans to determine the right way and proper time to deploy them. It will also enable new optimizations that are important for modern high-performance DBMSs. -
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BlobCity
A blazing fast ACID compliant NoSQL DataLake
BlobCity DB is an AI-optimized, NoSQL database designed for high-performance analytics and machine learning workloads. It combines structured and unstructured data storage, offering fast query execution and seamless integration with AI frameworks. It is built to handle large-scale datasets efficiently. -
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Apache PredictionIO
Machine learning server for developers and ML engineers
Apache PredictionIO® is an open source Machine Learning Server built on top of a state-of-the-art open source stack for developers and data scientists to create predictive engines for any machine learning task. Quickly build and deploy an engine as a web service on production with customizable templates; respond to dynamic queries in real-time once deployed as a web service; evaluate and tune multiple engine variants systematically; unify data from multiple platforms in batch or in real-time for comprehensive predictive analytics; speed up machine learning modeling with systematic processes and pre-built evaluation measures; support machine learning and data processing libraries such as Spark MLLib and OpenNLP; implement your own machine learning models and seamlessly incorporate them into your engine; simplify data infrastructure management. -
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xlsLib
C++/C library to construct Excel .xls files in code.
...To see the latest changes, select "Files" and view the README text displayed at the bottom of that pane. IMPORTANT: Major changes are contained in the current SVN source. If you have time please try to use it or the xlslib-package-2.4.0b1.zip archive, and enter bug reports on any problems! Changes: - library specific strings now in their own namespace - iOS Objective-C library - most project files updated (MSVS etc) - C bridge now supports formulas Note: there is a related SF project, libxls, to read Excel files. -
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Personal Administration
Personal finances for freelancers with connectivity with your Dropbox.
...Roadmap decided on a whim... (17/06/2014 - 02:06 hrs.) - DropBox connectivity -> APPROVED! (11/09/2014) -> WOHOOOOO!!!!! - Languages in database, not in plaintext -> Important! -> DONE! - Port to Android, iOS, MacOSX, WindowsPhone -> Important! - Maybe I'll be begging for donations (don't be shy, a hundred bucks will be fine xD). Don't worry, it's not mandatory -> Don't be shy! - Time to remember how to code in C++... argh! That's all for the time being. Hope it'll become a fine application for the interested ones... hope for donations... lol Some comments should not harm... :) -
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Our mission is to explore and develop new operating system concepts aimed at producing a more efficient computing environment where both the machine and user time are taken in consideration.
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insideApps from determyne: Transaction-level performance monitoring for J2EE applications. Correlates and reports on transactions across HTTP server, J2EE container, and database layers. Pinpoints the source of performance issues in real time.
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