300+ Open-source Free Tools for Data Scientists
Unveiling the Essence of Data Science
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Data science is an intriguing field fundamentally about posing questions and seeking answers that lie within data. It's a continuous process of inquiry and feedback that keeps the field dynamic and evolving.
A substantial segment of data science is about gathering, storing, cleaning, and processing data. These tasks require significant database engineering and management abilities, as well as the formulation of data processing algorithms. Working with real-world data is a complex process, making the collection, curation, and cleaning of data indispensable stages.
Following the preparation of the data, the next steps involve visualizing, analyzing, and potentially creating models for prediction. This is where the exciting world of machine learning comes into play. However, it's crucial to note that the glamour of machine learning is rooted in the groundwork done before it.
Visualization is a particularly critical part, as it facilitates communication, an essential component of data science.
Data science isn't just about data or algorithms; it's about people, teams, and the problems they aim to solve. It's about the questions they pose and the collaborative effort to find answers. The field brings together teams of experts with unique depths of knowledge and a growing understanding of data science, thereby creating 'pie-shaped' experts.
Looking ahead, we envision data science becoming a core functionality that entire teams will need to embrace. Upholding the principles of reproducibility and reliability in data science remains paramount.
In summary, while data science involves a lot of work in collecting, curating, and cleaning data, the reward lies in the ability to analyze, visualize, communicate, and solve problems with data as part of a team.
Data Science unequivocally harnesses the power of assorted tools and libraries. Tools, which are crucial software programs or utilities, empower developers in not only creating and modifying, but also in debugging, maintaining, and executing tasks vital to programming or development. Libraries, in contrast, stand as vast repositories of documents, applications, scripts, routines, or functions, ready to be referred to in the source code.
In this post, you'll find a valuable collection of open-source tools beneficial for data scientists and data engineers.
35 Data Science Python Libraries for Scientists
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23 Open-source Free Statistical, Data analysis and Notebook Projects for Data Scientists
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PyCaret: Low-code Machine Learning Library for Python
Gradio: Creates Machine learning Web Apps in Python
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SciDAVis
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27 Free Open-source Text Annotation Solutions
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15 WebGL Medical Visualization Projects
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21 Open Source Free Map Design and Geo Visualization Tools
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22 Open-source Database Visualization Panels and Dashboards for Business Intelligence (BI)
26 Free Open-source Image Annotation Tools
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19 Open-source Self-hosted Free Data Dashboard For Business Intelligence
WEKA: Open source Machine Learning Tools for Developers
Kuwala: Free Data Workspace for Business Intelligence (BI) Analysts
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8 Open-source/ Free Text Mining and Text Analysis solutions
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Urungi: Open-source Business Intelligence and Reporting tool for SQL Database Engines
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10+ Python Scraping Libraries and Frameworks For Data Engineers and Data Scientists
Top 17 Open-source Web Scrapping Frameworks
Netron: Open-source Visualizer for Deep Learning, Machine Learning, and Neural Network Models
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31 Free React Data Visualization and Chart Libraries
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33 Free Data Visualization Libraries, Frameworks and Apps, Mastering Data Presentation
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DataMelt: Free Computation and Visualization Environment
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22 Open-source Database Visualization Panels and Dashboards for Business Intelligence (BI)
12 Free Open source Statistical Analysis software as SPSS alternatives
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SageMath: Free Open-source Mathematical Software
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19 Open-source Self-hosted Free Data Dashboard For Business Intelligence
23 Open-source Free Database Monitoring Solutions for MySQL, Oracle, Postgres, and MSSQL
13 Free and Open-source SQL Viewers and Editors
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Ipyvolume - The Best 3D plotting Directly within Jupyter Notebook for Data Scientists
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Trowser: Free App to Browse Large Text Files with Ease
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14 Top Free and Open-source Log File Viewers
Orange is an Open-source Self-hosted Toolbox for Data Mining
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Open Metadata: Discover, Manage and Collaborate on your Data
CBoard Is an Open-source Self-hosted Business intelligence Reporting and Dashboard
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Top 17 Free, open-source SQL clients for productive database management
21 ChatGPT Alternatives: A Look at Free, Self-Hosted, Open-Source AI Chatbots
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30 Open-source ChatGPT Chatbots for Telegram, Teams, WhatsApp, Line, Slack, and Discord
25 Free Self-hosted Chatbot Builder Tools For Building Interactive Bots
13 Greatest Open Source Chatbot Frameworks
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