Search Results for "elasticsearch" - Page 2
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Showing 39 open source projects for "elasticsearch"
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App Metrics
App Metrics is an open-source and cross-platform .NET library
...App Metrics can run on .NET Core or on the full .NET framework also supporting .NET 4.5.2. App Metrics abstracts away the underlying repository of your Metrics for example InfluxDB, Prometheus, Graphite, Elasticsearch etc, by sampling and aggregating in memory and providing extensibility points to flush metrics to a repository at a specified interval. App Metrics provides various metric types to measure things such as the rate of requests, counting the number of user logins over time, measuring the time taken to execute a database query, measuring the amount of free memory, and so on. ... -
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Stagemonitor
An open source solution to application performance monitoring for java
Stagemonitor is a Java monitoring agent that tightly integrates with time series databases like Elasticsearch, Graphite and InfluxDB to analyze graphed metrics and Kibana to analyze requests and call stacks. It includes preconfigured Grafana and Kibana dashboards that can be customized. -
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Twint
An advanced Twitter scraping & OSINT tool written in Python
Twint is an advanced open-source Twitter scraping and OSINT tool written in Python that extracts tweets, user data, followers, likes, and more—without relying on Twitter’s API—making it highly useful for researchers, analysts, and hobbyists who want to bypass rate limits and access public Twitter data. -
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Mirage
GUI for simplifying Elasticsearch Query DSL
The Elasticsearch query DSL supports 100+ query APIs ranging from full-text search, numeric range filters, and geolocation queries to nested and span queries. Mirage is a modern, open-source web-based query explorer for Elasticsearch. It offers a blocks-based GUI for composing Elasticsearch queries and comes with an on-the-fly transformer to show the corresponding JSON query API of Elasticsearch. -
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Elasticquent
Maps Laravel Eloquent models to Elasticsearch types
Elasticsearch for Eloquent Laravel Models. Elasticquent makes working with Elasticsearch and Eloquent models easier by mapping them to Elasticsearch types. You can use the default settings or define how Elasticsearch should index and search your Eloquent models right in the model. Elasticquent uses the official Elasticsearch PHP API. To get started, you should have a basic knowledge of how Elasticsearch works (indexes, types, mappings, etc). ... -
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log-pilot
Collect logs for docker containers
log-pilot is an awesome docker log tool. With log-pilot you can collect logs from docker hosts and send them to your centralized log system such as elasticsearch, graylog2, awsog and etc. log-pilot can collect not only docker stdout but also log file that inside docker containers. -
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The Moqui Ecosystem is a series of open source components for enterprise applications all built on a common framework (Moqui Framework) written in Java and Groovy. The components include tools that plug in to the framework, business artifacts, and applications. Some of the popular tool plug ins include ElasticSearch, Apache FOP, Apache Camel, OrientDB, and Hazelcast. The business artifacts later includes a universal data model (mantle-udm), service library (mantle-usl), reusable screens (SimpleScreens), and integration components for EDI, Authorize.NET, and Shippo. There are 2 main applications in the ecosystem: POP Commerce ERP and eCommerce for retail and wholesale, and HiveMind Project Management and ERP for service organizations. ...
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yaesc
Yet Another Elasticsearch GUI Client
Elasticsearch Desktop GUI client. An IDE to create and test your queries. -
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AngularSpree
Angular eCommerce framework for online store
...Thus, leveraging all the benefits of the battle-tested Erlang runtime, chiefly: high availability and massive scalability which results in blazing fast response times. According to the DB-Engines ranking, Elasticsearch is the most popular enterprise search engine. -
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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Bosun
Time Series Alerting Framework
Bosun is an open-source, MIT-licensed, monitoring and alerting system by Stack Exchange. It has an expressive domain-specific language for evaluating alerts and creating detailed notifications. It also lets you test your alerts against history for a faster development experience. Want to jump right in? Follow our quick start tutorial to get Bosun, OpenTSDB, and scollector up quickly using our published docker images. Download the prebuilt binaries for Bosun and our optional but valuable... -
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Talk-OS
Open source version of jianliao
talk-os is an open-source team chat platform that delivers real-time messaging, channels, and file sharing for collaborative work. It organizes conversations into public rooms and private groups, supports mentions and notifications, and provides a persistent message history with search so teams can catch up quickly. The system is designed around live updates, pushing new messages and presence changes to connected clients without page reloads. File attachments, emojis, and basic rich content... -
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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... -
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ElastAlert
Easy and flexible alerting with ElasticSearch
We designed ElastAlert to be reliable, highly modular, and easy to set up and configure. It works by combining Elasticsearch with two types of components, rule types and alerts. Elasticsearch is periodically queried and the data is passed to the rule type, which determines when a match is found. When a match occurs, it is given to one or more alerts, which take action based on the match. This is configured by a set of rules, each of which defines a query, a rule type, and a set of alerts. ... -
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elasticsearch-river-nsq
Elasticsearch River NSQ binaries
Elasticsearch River NSQ binaries
