Top 10 Best Laboratory Data Analysis Software of 2026

GraphPad Prism is a premier data analysis and graphing software designed specifically for scientists in biology, pharmacology, and life sciences. It integrates data organization, statistical analysis (including t-tests, ANOVA, non-linear regression, and survival analysis), and publication-ready graphing into a single intuitive platform. Prism streamlines workflows from raw data entry to polished figures, with automated features like analysis checklists and customizable templates to ensure accuracy and reproducibility.

OriginPro is a powerful data analysis and graphing software tailored for scientific research and laboratory environments, enabling users to import, process, and visualize complex datasets from experiments. It excels in advanced statistical analysis, peak fitting, curve fitting, and signal processing, with tools for creating publication-quality 2D/3D graphs and surfaces. The software supports scripting via LabTalk and Python integration for automation, making it a staple for reproducible workflows in labs.

MATLAB is a high-level programming language and interactive environment from MathWorks designed for numerical computing, data analysis, visualization, and algorithm development. It excels in laboratory data analysis through its extensive suite of toolboxes for signal processing, image analysis, statistics, bioinformatics, and machine learning, enabling scientists to process large datasets efficiently. With built-in support for hardware integration and parallel computing, MATLAB streamlines workflows from data acquisition to insight generation in research labs.

JMP is an interactive statistical visualization and analysis software developed by SAS Institute, designed primarily for scientists, engineers, and researchers handling laboratory and experimental data. It excels in exploratory data analysis through dynamic, linked graphs, statistical modeling, design of experiments (DOE), and quality control tools. With its point-and-click interface and scripting capabilities via JSL, JMP facilitates rapid insight discovery from complex datasets typical in lab environments.

Igor Pro is a powerful scientific data analysis and graphing software from WaveMetrics, tailored for researchers handling complex experimental data in fields like physics, electrophysiology, and materials science. It offers advanced tools for curve fitting, image analysis, statistical operations, and 3D visualization, supported by its proprietary Igor scripting language for custom procedures. The software efficiently manages large datasets and produces publication-quality graphs across various formats.

KNIME is an open-source data analytics platform that enables users to build visual workflows for data integration, processing, analysis, and machine learning without extensive coding. It excels in laboratory data analysis by supporting extensions for cheminformatics (e.g., RDKit), bioinformatics, and integration with LIMS, instruments, and scientific file formats like SDF or FASTA. With thousands of pre-built nodes, it facilitates ETL pipelines, statistical modeling, and reporting tailored to research environments.

LabVIEW, developed by National Instruments (NI), is a graphical programming environment designed for data acquisition, instrument control, and automated test systems in laboratory settings. It excels in laboratory data analysis by providing built-in tools for signal processing, statistical analysis, visualization, and real-time data handling through its intuitive block diagram interface. Users can create custom virtual instruments (VIs) for seamless integration of hardware and software in complex lab workflows.

OpenLAB CDS from Agilent is a robust chromatography data system (CDS) designed for acquiring, processing, analyzing, and reporting data from HPLC, GC, MS, and other analytical instruments. It provides instrument control, automated peak integration, quantitation, custom reporting, and full compliance with regulations like 21 CFR Part 11 and EU Annex 11. Integrated within the OpenLAB ecosystem, it enables centralized data management, secure sharing, and electronic signatures across laboratory workflows.

Chromeleon CDS is a robust chromatography data system (CDS) from Thermo Fisher Scientific, designed for instrument control, data acquisition, processing, analysis, and reporting in chromatographic workflows such as HPLC, GC, and IC. It excels in regulated environments with built-in 21 CFR Part 11 compliance, including audit trails, electronic signatures, and user access controls. The software supports multi-vendor instrument integration and advanced automation tools for high-throughput labs.

Empower, from Waters Corporation, is a leading chromatography data system (CDS) designed for acquiring, processing, analyzing, and reporting data from HPLC, UHPLC, GC, and related instruments in laboratory environments. It excels in regulated industries like pharmaceuticals and biotech, offering robust tools for method validation, peak integration, custom reporting, and compliance with FDA 21 CFR Part 11 through audit trails and electronic signatures. The software supports both Waters hardware and third-party instruments, making it suitable for complex workflows involving large datasets.