Displaying 1 to 20 from 36 results

js-data - Give your data the treatment it deserves with a framework-agnostic, datastore-agnostic JavaScript ORM built for ease of use and peace of mind


JSData v3 is now stable!. Some adapters still need to be updated to work with v3. Message @jmdobry on the JSData Slack channel if you want to help with tests, documentation, tutorials, adapters, etc.JSData is a framework-agnostic, datastore-agnostic ORM for Node.js and the Browser.

Elasticsearch-Exporter - A small script to export data from one Elasticsearch cluster into another.


A command line script to import/export data from ElasticSearch to various other storage systems. This is a brand new implementation with lots of bugs and way too little time to test everything for one lonely developer, so please consider this beta at best and provide feedback, bug reports and maybe even patches.

linvodb3 - Persistent database for Node


LinvoDB is a Node.js/NW.js/Electron persistent DB with MongoDB / Mongoose-like features and interface. LinvoDB is based on NeDB, the most significant core change is that it uses LevelUP as a back-end, meaning it doesn't have to keep the whole dataset in memory. LinvoDB also can do a query entirely by indexes, meaning it doesn't have to scan the full database on a query.




camo - A class-based ES6 ODM for Mongo-like databases.


Short answer, we probably don't. Camo was created for two reasons: to bring traditional-style classes to MongoDB JavaScript, and to support NeDB as a backend (which is much like the SQLite-alternative to Mongo). Throughout development this eventually turned in to a library full of ES6 features. Coming from a Java background, its easier for me to design and write code in terms of classes, and I suspect this is true for many JavaScript beginners. While ES6 classes don't bring any new functionality to the language, they certainly do make it much easier to jump in to OOP with JavaScript, which is reason enough to warrent a new library, IMO.

anom-py - An ndb-like object mapper for Google Cloud Datastore.


anom is an object mapper for Google Cloud Datastore heavily inspired by ndb with a focus on simplicity, correctness and performance.anom is licensed under the 3-clause BSD license and it officially supports Python 3.6 and later.


interface-datastore - datastore interface


If you want the same functionality as go-ds-flatfs, use sharding with fs.To allow a better abstraction on how to address values, there is a Key class which is used as identifier. It's easy to create a key from a Buffer or a string.

js-ipfs-repo - Implementation of the IPFS Repo spec in JavaScript


This is the implementation of the IPFS repo spec in JavaScript.This provides a well defined interface for creating and interacting with an IPFS repo.

google-cloud-kvstore - Use @google-cloud/datastore as a Key/Value store.


Use Datastore as a Key/Value store.Google Cloud Datastore is a managed, NoSQL, schemaless database for storing non-relational data. Datastore entities are complex objects. However, we can wrap this complexity to mimic a simple key/value store by storing a numeric or string "key" as the id of an entity.

js-data-firebase - Firebase adapter for js-data.


A Firebase adapter for the JSData Node.js ORM.Start with the JSData + Firebase tutorial or checkout the API Reference Documentation.

js-data-mongodb - MongoDB adapter for js-data


A MongoDB adapter for the JSData Node.js ORM.Start with the JSData + MongoDB tutorial or checkout the API Reference Documentation.

js-data-rethinkdb - RethinkDB adapter for js-data


RethinkDB adapter for the JSData Node.js ORM.Start with the JSData + RethinkDB tutorial or checkout the API Reference Documentation.

js-data-sql - Postgres/MySQL/MariaDB/SQLite3 adapter for js-data


A Postgres/MySQL/MariaDB/SQLite3 adapter for the JSData Node.js ORM.Start with the JSData + SQL tutorial or checkout the API Reference Documentation.

js-data-cloud-datastore - Google Cloud Datastore adapter for js-data


Google Cloud Datastore adapter for js-data.Note: This adapter is in beta, and uses the 3.0 beta version of js-data.

goshare - Go Share your TimeSeries/NameSpace/KeyVal DataStore (using leveldb) over HTTP &/or ZeroMQ


This will create two distributable binaries ./bin/goshare_service & ./bin/goshare_daemon. Here ./bin/goshare_service works as shown in README's 'Tryout' section. To utilize it "zxtra/gohttp_client.go" and "zxtra/go0mq_client.go" can be referred on how to utilize capabilities of GoShare.

haro - Harō is a modern immutable DataStore


Harō is a modern immutable DataStore built with ES6 features, which can be wired to an API for a complete feedback loop. It is un-opinionated, and offers a plug'n'play solution to modeling, searching, & managing data on the client, or server (in RAM). It is a partially persistent data structure, by maintaining version sets of records in versions (MVCC). Synchronous commands return an Array instantly, while asynchronous commands return Promises which will resolve or reject in the future. This allows you to build complex applications without worrying about managing async code.