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Showing 4 open source projects for "python data analysis"

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1

ChatterBot

Machine learning, conversational dialog engine for creating chat bots

ChatterBot is a Python library that makes it easy to generate automated responses to a user’s input. ChatterBot uses a selection of machine learning algorithms to produce different types of responses. This makes it easy for developers to create chat bots and automate conversations with users. For more details about the ideas and concepts behind ChatterBot see the process flow diagram.

Downloads: 7 This Week

Last Update: 2026-03-24
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2

DiagrammeR

Graph and network visualization using tabular data in R

DiagrammeR is an R package to create, manipulate, and visualize network graphs, flowcharts, diagrams, and more using Graphviz and Mermaid syntax. Integrates with RMarkdown and Shiny apps, supports node/edge traversal, and graph analysis algorithms, making it ideal for documenting processes, causal relationships, or data pipelines.

Downloads: 9 This Week

Last Update: 2025-07-29
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3

FOML

FOML is an expressive logic rule language that supports object modeling, analysis, and inference. It naturally supports model-level activities, such as constraints (extending UML diagrams), dynamic compositional modeling, analysis and reasoning about models, model testing, design pattern modeling, specification of Domain Specific Modeling Languages, and meta-modeling. FOML can reason about: 1. The model meta-data (meta-model level reasoning, or syntax reasoning) 2. ...

Downloads: 0 This Week

Last Update: 2022-11-17
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4

Python Link Analyst

This is intended as an open-source, multi-platform link diagramming tool for intelligence analysis. The goal is to be able to store objects using any database abstraction or in XML. This project needs much wheel reinvention, so assistance is welcome.

Downloads: 0 This Week

Last Update: 2016-07-24
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Skillfully - The future of skills based hiring
Realistic Workplace Simulations that Show Applicant Skills in Action

Skillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.

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