Most Powerful Open Source ERP

Latest ERP5 Documents

Windelin Project and Smart Sensor presentation

Smart sensor at the edge presentation. Technology and approach being used by Nexedi during Windelin EU R&D project.
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Python PyData and Javascript Project Developer

Nexedi is looking for a developer interested in contributing to customer projects based on our Python PyData Framework Wendelin and our Javascript libraries jio and renderjs.
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Edge Computing for Industrial Automation and Control

The business of industrial automation and control will move away over time from existing, highly profitable, proprietary product lines towards much more flexible yet less profitable open hardware and Free Software. Future profits will eventually emerge from online services based on industrial big data, personalisation, legal regulation and trade secret powered by increasingly smart sensors and gateways at the edge.
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Wendelin Data Process Example

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Wendelin Meta Model

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Wendelin Data Model

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Wendelin Data Process Example Full

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Wendelin Data Process Example

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Wendelin Data Model

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Wendelin Meta Model

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Wendelin Data Model

This design document describes the Wendelin data model and how it derives from the generic Unified Business Model.
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Can ERP5 replace XXX ?

ERP5 and Nexedi stack can now be used for the most demanding enterprise applications while providing more flexibility, better technology and tighter convergence between applications.
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NEO powered ERP5 reaches 100 TB of Wendelin out-of-core data

NEO distributed database has reached on November 24th 2017 a storage size of 100 TB consisting of 30 big data streams of about 3.3 TB each stored on a cluster of inexpensive computers running 18 parallel MariaDB and RockDB storage engines.
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NEO Scalability Test RocksDB 100T Data Stream Module

Total size: 100169498492928 - 30 data streams with a compressible ratio of 43.5% - 1 replica, 88.6T disk usage - 1 dedicated zope per data stream - 6 machines, each one with 64GB RAM, 3 HDD of 6TB, 1 NEO storage per disk
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High Peformance Multi-core Python at Nexedi

Nexedi has been able to use python language in a multi-core high performance fashion for over 10 years. We explain how in this blog and provide a simple set of rules to quickly remember how and why python is suitable for concurrent programming. We also explain our decision to use golang in rare cases where python is not suitable.
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Improving python memory management in a multi-process environment with wendelin.core

This talk explains how to efficiently use memory with mutli-process deployments of cpython on multi-core servers or clusters, thanks to a distributed transactional memory manager: wendelin.core.
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Tutorial on Wendelin Data Ingestion

Data Ingestion with Embulk and Wendelin. Install, setup and configuration. Weather Data Example.
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Get data from Data (Bucket) Stream and write to Data Array

This Note shows how to use Data (Bucket) Stream and Data Array
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Evaluate Wendelin Tutorial

A tutorial for executives or data scientists evaluating Wendelin's big data capabilities.
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Using Wendelin To Visualize Computed Data

A tutorial showing how to build websites with Wendelin to display computed data.
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