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Showing 13 open source projects for "embed"
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embetty
Embetty displays remote content like tweets or YouTube videos
Embetty displays remote content like tweets or videos without compromising your privacy. Setup your embetty-server. Include the embetty lib into your HTML document. Insert an embed by using a custom tag. Embetty needs a server component that you need to run on your infrastructure. Configure the server URL for embetty using a meta data-embetty-server tag. Use the type attribute with a value of facebook, vimeo or youtube. Set the video-id attribute to the video ID. For videos of type vimeo or youtube, it's also possible to set a start-at attribute with a value of time in seconds to start the video at a specific timecode. ... -
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Zvec
A lightweight, lightning-fast, in-process vector database
...Its performance benchmarks show it achieving high queries-per-second and fast index build times compared to similar tools. Because it runs in-process, developers can embed it in native apps, microservices, or edge computing scenarios where traditional server-based vector databases might be overkill. -
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rosedb
High performance NoSQL database based on bitcask
A high-performance NoSQL database based on bitcask, supports string, list, hash, set, and sorted set. rosedb is a fast, stable, and embedded NoSQL database based on bitcask, that supports a variety of data structures such as string, list, hash, set, and sorted set. Easy to embed into your own Go application. High performance, suitable for both read and write-intensive workloads. Values are not limited by RAM. It is similar to Redis but store values on disk. RoseDB is based on bitcask. -
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Stoolap
A Modern Embedded SQL Database written in Rust
...Its intuitive query builder lets users craft powerful filters and aggregations without complex configurations, making it easier to diagnose performance bottlenecks or uncover unusual events during testing and production. Stoolap supports dashboards, alert triggering, and exports so teams can embed visualizations in reports or monitor critical thresholds in real time. -
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Milvus
Vector database for scalable similarity search and AI applications
...Average latency measured in milliseconds on trillion vector datasets. Rich APIs designed for data science workflows. Consistent user experience across laptop, local cluster, and cloud. Embed real-time search and analytics into virtually any application. Milvus’ built-in replication and failover/failback features ensure data and applications can maintain business continuity in the event of a disruption. Component-level scalability makes it possible to scale up and down on demand. -
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BuntDB
Database for Go with custom indexing and geospatial support
...Because it keeps its data in memory (with persistent backing), it's well suited for caching, session stores, small-scale databases inside Go applications, or applications that prefer simplicity and speed over massive scale. The API is simple, and the library is easy to embed into Go apps. -
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IndraDB
A graph database written in rust
...IndraDB consists of a server and an underlying library. Most users would use the server, which is available via releases as pre-compiled binaries. But if you're a rust developer that wants to embed a graph database directly in your application, you can use the library. IndraDB's original design is heavily inspired by TAO, facebook's graph datastore. In particular, IndraDB emphasizes simplicity of implementation and query semantics, and is similarly designed with the assumption that it may be representing a graph large enough that full graph processing is not possible. ... -
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SymmetricDS
Database Replication, Filtered Synchronization, and Transformation
SymmetricDS is database replication and file synchronization software. It is a platform-independent, web-enabled, and database-agnostic synchronization tool. With initial data load, bidirectional change data capture, conflict resolution, and data transformation, it is a comprehensive data replication solution. -
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TensorBase
TensorBase is a new big data warehousing with modern efforts
...After thoughts, we decided to temporarily leave the general data warehousing field. For people who want to learn how a database system can be built up, or how to apply modern Rust to the high-performance field, or embed a lightweight data analysis system into your own big one. You can still try, ask or contribute to TensorBase. The committers are still around the community. We will help you in all kinds of interesting things pursued in the project by us and maybe you. We still maintain the project to look forward to meeting more database geniuses in this world, although no new feature will be added in the near future. -
Go from Data Warehouse to Data and AI platform with BigQueryBigQuery is more than a data warehouse—it's an autonomous data-to-AI platform. Use familiar SQL to train ML models, run time-series forecasts, and generate AI-powered insights with native Gemini integration. Built-in agents handle data engineering and data science workflows automatically. Get $300 in free credit, query 1 TB, and store 10 GB free monthly.
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HyperSQL is like a doxygen plus javadoc for SQL, hypermapping SQL views, packages, procedures, and functions to HTML source code listings and showing all code locations where these are used.
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The Silicon Web Framework
A high performance, middleware oriented C++14 http web framework
...It relies on the JSON format whenever it has to encode or decode objects (procedures parameters and return values). Silicon relies on static objects (i.e. not hashmaps) to model objects. They embed static introspection in their type such that the JSON serializer knows about their members' names and types. In Silicon, parameters are strongly typed and declared next to the procession route. If any error occurs during the decoding (i.e. a missing or ill-formated parameter), the framework does not call the procedure and send an error to the client. -
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ODB is a light-weight entity manager. It can embed in java application, can process transaction, support query with java mode.
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Vanilla is a system based on content management and structural linking. You can build a site with multiple departements, and have them behave like they are autonomus websites. You can embed external scripts easily, manage multiple languages.
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