197 Open source projects that are alternatives of or similar to Depc

A python library for Bayesian time series modeling

Anomaly detection

Golang implementation of Graphite/Carbon server with classic architecture: Agent -> Cache -> Persister

A suite of tools to assist with reviewing Open Source Software dependencies.

emerge is a source code analysis tool and dependency visualizer that can be used to gather insights about source code structure, metrics, dependencies and complexity of software projects. After scanning the source code of a project it provides you an interactive web interface to explore and analyze your project by using graph structures.

📈 The InfluxDB Client for Node.js and Browsers

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Tools for time series analysis and forecasting

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Timeseries database

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Fast data store for Pandas time-series data

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

Hastic data management server for analyzing patterns and anomalies from Grafana

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

Tool for getting a spring bean dependency graph

AlphaSQL provides Integrated Type and Schema Check and Parallelization for SQL file set mainly for BigQuery

View the dependencies tree of you Angular application

Time series distances: Dynamic Time Warping (DTW)

Gotopus is a minimalistic tool that runs arbitrary commands concurrently.

NPM Project Consultant CLI

Chart.js module for charting financial securities

This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average with an extreme student deviate (ESD) test to detect anomalous points.

SiriDB is a highly-scalable, robust and super fast time series database. Build from the ground up SiriDB uses a unique mechanism to operate without a global index and allows server resources to be added on the fly. SiriDB's unique query language includes dynamic grouping of time series for easy analysis over large amounts of time series.

A Python package for time series classification

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

Time series data visualization software

A toolkit for working with time series in R

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

Interpolation-Prediction Networks for Irregularly Sampled Time Series

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

Performance Co-Pilot

Multivariate LSTM Fully Convolutional Networks for Time Series Classification

NeuralProphet - A simple forecasting model based on Neural Networks in PyTorch

Portfolio optimization with deep learning.

Declarative and modular timeseries charting components for React

Synthetic structured data generators

Solution to Kaggle - Web Traffic Time Series Forecasting

Interactive visualizations of time series using JavaScript and the HTML canvas tag

Bringing financial analysis to the tidyverse

Timeseries database

A tool for generating random, yet realistic, time series values

Record process launches and files read and written by each process

Python implementation of KNN and DTW classification algorithm

Jonga: Python function call graph visualization

Reverse engineering and software quality assurance tool for .NET assemblies

Time Series data structure for Redis

Time series based anomaly detector

Distributed "massively parallel" SQL query engine

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

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Static code analysis to find violations in a dependency graph