Search Results for "time series forecasting java"
Sort By:
12 projects for "time series forecasting java" with 2 filters applied:
-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
Build Data Resilience - Take the Assessment TodayIs your recovery strategy as strong as you think? Take this quick self-assessment to check your recovery readiness and gain tailored insights. In only 2 minutes, you'll learn where you fall on the recovery readiness scale.
-
1
Sov.ai
A curated list of practical financial machine learning tools and apps
Financial Machine Learning is a curated directory of practical tools, repositories, datasets, papers, and educational resources for quantitative finance. It organizes material across trading, forecasting, portfolio construction, risk, alternative data, and financial machine learning techniques. Dedicated sections cover supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, and time-series analysis. Entries include descriptions, popularity data, maintenance indicators, and editorial ratings to help readers compare resources. ... -
2
Prometheus JVM Client
Prometheus instrumentation library for JVM applications
It supports Java, Clojure, Scala, JRuby, and anything else that runs on the JVM. If you use Maven, you can simply reference the assets below. The latest version can be found on in the maven repository for io.prometheus. By default, counters, histograms, and summaries export an additional series suffixed with _created and a value of the unix timestamp for when the metric was created. Building the repository needs Java 11 (The project the project still supports Java 6 and Java versions > 11... -
3
XAOP
A lghtweight AOP(Android) application framework
A lightweight AOP (Android) application framework, including the most practical AOP applications. It is better to act than to be excited, so hurry up and click on the user manual to experience it! In order to facilitate the quick integration of the X series framework library, I provide an empty shell template for your reference. Supports quick click slices @SingleClick, and supports setting the time interval of quick clicks. Supports dynamic application for permission slices @Permission, and... -
4
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. -
Earn up to 16% annual interest with Nexo.Put idle assets to work with competitive interest rates, borrow without selling, and trade with precision. All in one platform. Geographic restrictions, eligibility, and terms apply.
-
5
CrNiCKL
CrNiCKL (chronicle) is a Java database for time series
CrNiCKL (pronounced "chronicle") is a data manager written in Java handling large sets of heterogeneous time series. A simple schema system allows to confiture value types and time domains. CrNiCKL runs on top of SQL or NoSQL databases. Drivers for JDBC and MongoDB are available. -
6
The Time2 Java library provides generic time series with configurable time domains.
-
7
JFreeChart is a free (LGPL) chart library for the Java(tm) platform. It supports bar charts, pie charts, line charts, time series charts, scatter plots, histograms, simple Gantt charts, Pareto charts, bubble plots, dials, thermometers and more. *** JFreeChart has moved to GitHub: https://github.com/jfree/jfreechart ***
-
8
QuantComponents
Free Java components for Quantitative Finance and Algorithmic Trading
An open-source framework for financial time-series analysis and algorithmic trading, based on Java and OSGi, with an Eclipse front-end. * Highly modular: usable as plain java API, OSGi components, or integrated into Eclipse * Standalone or client-server architecture, depending on performance and reliability needs * Integrated with Interactive Brokers through IB Java API * Generic broker API, it can easily be extended to work with other brokers * It works with historical and/or realtime market data * Backtesting facility * Extensible SWT charting library -
9
JLevel
Kogonuso JLevel - a simple java library that has changed the way html
...Just import JLevel 2.0 and turn all the tag elements that you have ever known into simple method call. The best is there for you to discover as JLevel not only stripped off tagging in Java html , it has formulated series of shortcuts by abstracting redundant html codes that we have often repeatedly written saving you valuable time. You will no longer dread including html as a formatting tool in your java application when you use JLevel 2.0. Another important feature that JLevel 2.0 has made possible inside java is the abilit -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
-
10
ChronoDB
ChronoDB is a data manager for generic time series.
The project has been renamed CrNiCKL (chronicle) and moved to http://crnickl.sourceforge.net. ChronoDB is a data manager written in Java. It supports time series of any type. With its simple and powerful schema subsystem it takes charge of very large heterogeneous data sets. The software consist of an API and a generic implementation layer running on top of an SQL or a NoSQL system. Applications can mix objects from multiple ChronoDB databases. -
11
OpenForecast is a package of general purpose, forecasting models written in Java that can be applied to any data series. No knowledge of forecasting is required. Using this package, the most appropriate algorithm for your data will be selected.
-
12
Not the greatest thing since Sliced Bread, it IS Sliced Bread. This project is a series of network tools and a network development SDK, with big hopes, and too little time to code it all.
- Previous
- You're on page 1
- Next
