Software Alternatives, Accelerators & Startups

OpenKM.us VS CatBoost

Compare OpenKM.us VS CatBoost and see what are their differences

OpenKM.us logo OpenKM.us

OpenKM is a document management software that integrates all essential document management into one easy to use solution.

CatBoost logo CatBoost

CatBoost - state-of-the-art open-source gradient boosting library with categorical features support, https://catboost.yandex/ #catboost
  • OpenKM.us Landing Page
    Landing Page //
    2024-06-11

OpenKM is an Enterprise Content Management Software, often referred to as Document Management Systems (DMS), EDRMS, or CMS.

A Document Management Software (DMS) is a computer program used to store, manage, and track electronic documents and images of paper-based information captured using a document scanner or other means.

OpenKM is a management solution that allows businesses to control the production, storage, management, and distribution of electronic documents and control documents' flow

OpenKM is a document management software that integrates all essential document management, collaboration, and advanced search functionality into one easy to use solution. The system also includes administration tools to define various users' roles, access control, user quota, document security level, detailed logs of activity, and automation setup.

With OpenKM enterprise document management, you can:

Control your enterprise content. Collect information from any digital source. Collaborate with colleagues on documents and projects. Empower organizations to capitalize on accumulated knowledge by locating documents, experts, and information sources. Enterprise content management features. Manage digital content or documents.

Call +1 646 206 6071.

  • CatBoost Landing page
    Landing page //
    2021-10-16

OpenKM.us

Website
openkm.us
$ Details
freemium $6000.0 / One-off ("10 users" "2 TB supported repository" )
Platforms
Browser Android Windows Linux Cloud Internet Explorer Safari Chrome OS Oracle Google Chrome Firefox Web Edge AWS Azure Docker .Net PHP REST API JavaScript Java Amazon ASP.NET API Apache
Release Date
2014 May

OpenKM.us features and specs

  • Customizable: https://www.openkm.us/en/customizations.html
  • Consulting Services: https://www.openkm.us/en/consulting.html
  • Training Services: https://www.openkm.us/en/training.html
  • Document management: https://www.openkm.us/en/document-management.html
  • Enterprise service management: https://www.openkm.us/en/enterprise-content-management-system.html
  • Workflow: https://docs.openkm.com/kcenter/view/wfg/
  • Partner Program: https://www.openkm.us/en/partners.html
  • Community: https://www.openkm.us/en/open-source-document-management-system.html
  • Professional on-premise version: https://www.openkm.us/en/professional-document-management-system.html
  • Professional cloud version: https://www.openkm.us/en/cloud-document-management-system.html

CatBoost features and specs

No features have been listed yet.

OpenKM.us videos

OpenKM | assists users to comply with the HIPAA USA Law regulations.

More videos:

  • Demo - OpenKM in less than four minutes (New interface features tour)
  • Tutorial - OpenKM’s Stamp and watermark feature (New Interface)
  • Tutorial - OpenKM’s Search functionality (new interface)
  • Demo - OpenKM - Optical Character Recognition - Zone OCR example - (New User Interface)

CatBoost videos

[Paper Review]Catboost: Unbiased Boosting with Categorical Features

More videos:

  • Review - 04-9: Ensemble Learning - CatBoost (앙상블 기법 - CatBoost)
  • Review - Free Udemy Course - CatBoost vs XGBoost - Classification and Regression Modeling with Python

Category Popularity

0-100% (relative to OpenKM.us and CatBoost)
Document Management System
Data Science Tools
0 0%
100% 100
Education
100 100%
0% 0
Data Science And Machine Learning

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare OpenKM.us and CatBoost

OpenKM.us Reviews

  1. The best document management app we've used

    We had an excellent experience overall; the program, despite having many capabilities, serves its job, with only a few customer care issues. We are at ease using the program!

    👍 Pros:    Excellent features|User friendly interface|Reasonable pricing
    👎 Cons:    Customer support

CatBoost Reviews

We have no reviews of CatBoost yet.
Be the first one to post

Social recommendations and mentions

Based on our record, CatBoost seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

OpenKM.us mentions (0)

We have not tracked any mentions of OpenKM.us yet. Tracking of OpenKM.us recommendations started around Mar 2021.

CatBoost mentions (4)

  • What's New with AWS: Amazon SageMaker built-in algorithms now provides four new Tabular Data Modeling Algorithms
    CatBoost is another popular and high-performance open-source implementation of the Gradient Boosting Decision Tree (GBDT). To learn how to use this algorithm, please see example notebooks for Classification and Regression. - Source: dev.to / almost 2 years ago
  • Writing the fastest GBDT libary in Rust
    Here are our benchmarks on training time comparing Tangram's Gradient Boosted Decision Tree Library to LightGBM, XGBoost, CatBoost, and sklearn. - Source: dev.to / over 2 years ago
  • Data Science toolset summary from 2021
    Catboost - CatBoost is an open-source software library developed by Yandex. It provides a gradient boosting framework which attempts to solve for Categorical features using a permutation driven alternative compared to the classical algorithm. Link - https://catboost.ai/. - Source: dev.to / over 2 years ago
  • CatBoost Quickstart — ML Classification
    CatBoost is an open source algorithm based on gradient boosted decision trees. It supports numerical, categorical and text features. Check out the docs. - Source: dev.to / over 3 years ago

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