Products

ACD/Labs Data Management and Informatics software supports most major instrument vendor formats and uniquely supports structure assignment to chromatographic peaks. Process and analyze separations experiments, and build applications databases to share expert knowledge throughout your department, or organization

The Training Notebook One is personal training software built for trainers. Clients, workouts, programs, calendar, notes and progress in one place, on iPhone, iPad, Mac with Apple M1 or later, Android, and in your browser. Start a workout with a client in 2 taps. Build a 6-exercise workout in under 15 seconds. Build programs ahead of time, or start from one of 20 ready made programs, and give each client their own copy. Every client gets their own login in the same app, free for clients. They

Free and open-source browser based lab notebook and lab management software. eLabFTW is powered by PHP/MySQL in Docker containers. It should be installed on a server. One install can be for a team, or the whole institution. You can also install it on your computer just for yourself.

Apartment and housing management app for renters, leasing offices, and building owners. Options for maintenance, reports, and broadcast.

Marimo is an open-source, next-generation Python notebook designed to enhance data exploration, experimentation, and application development. It offers a reactive programming environment that ensures code, outputs, and program state remain consistent, addressing common issues found in traditional notebooks. Marimo's notebooks are stored as pure Python files, making them Git-friendly and easily executable as scripts or deployable as interactive web applications. Key Features and Functionality:

Synthace is a digital experiment platform built for high-performance life science R&D teams to help them run more powerful experiments and accelerate scientific progress. It allows biologists to design, plan, and automate experiments in a single place, then automatically gather structured experiment data and metadata in a unified no-code environment.

ReNoteAI's notebooks are eco-friendly and integrate seamlessly with their AI-powered app, allowing users to digitize handwritten notes effortlessly. The notebooks come in three variants: Eco, Lite, and Air 📱 ReNoteAI App Features The ReNoteAI app enhances the functionality of the smart notebooks with the following features: apps.apple.com +6 renote.ai +6 getinfinote.com +6 AI Chatbot: Assists in summarizing and analyzing notes. Smart Templates: Pre-designed templates for various

Notivo is a private notebook built for people managers. Instead of scattering observations across chat messages, generic docs, or memory, managers capture a quick note the moment something happens using simple @person and #topic tags. Notivo automatically organizes those notes into a private, per-person timeline, so context is there when it matters most: before a 1:1, during review season, or when building a promotion case. Unlike a shared team wiki or an HR performance platform, Notivo is priv

Athena Intelligence is a New York City-based technology company specializing in integrating artificial intelligence into enterprise workflows to enhance efficiency and collaboration. Their flagship offerings include the AI-native Olympus platform and the AI agent Athena, which together facilitate seamless transitions between co-pilot and agent workflows, significantly improving data analysis processes. Key Features and Functionality: - Olympus Platform: A comprehensive suite of applications an

Amanote is a GenAI-powered learning notebook designed to enhance student engagement and streamline the educational experience. By integrating seamlessly with Learning Management Systems (LMS), it transforms traditional course materials—such as slides, PDFs, and textbooks—into interactive, annotatable content. This allows students to take structured notes directly alongside their study materials, fostering a more organized and effective learning process. Amanote's contextual chatbot, powered by a

Op is an innovative data analysis platform that seamlessly integrates spreadsheets, code notebooks, and AI-driven code generation to simplify the data analysis process. By combining these tools, Op eliminates the complexities associated with traditional data manipulation libraries, enabling users to focus on deriving insights rather than managing code intricacies. Key Features and Functionality: - AI-Powered Code Generation: Op allows users to input questions and receive contextually relevant

Learn, test and prototype AI inference workloads using Intel® DevCloud for the Edge, which includes a preinstalled and preconfigured version of the Intel® Distribution of OpenVINO™ toolkit and AI pipeline software. Access tutorials, sample applications and pretrained models via a Jupyter Notebook environment and execute workloads on a wide range of Intel® hardware.

DataMotto is an AI-driven platform designed to streamline the data analysis process by transforming raw data into clean, enriched, and reliable datasets. By integrating specialized AI agents, DataMotto automates data preparation and analysis, enabling users to derive actionable insights efficiently. Key Features and Functionality: - AI Notebooks: A user-friendly environment where AI agents assist in data cleaning, organization, and analysis, proactively suggesting next steps to simplify the da

MantleBio is a comprehensive data engineering platform designed to empower scientists by transforming complex biological data into actionable insights. By integrating data management, analysis, and collaboration tools into a unified cloud-based environment, MantleBio streamlines the research process, enabling rapid and reproducible discoveries without the need for extensive setup. Key Features and Functionality: - Python Notebooks Designed for Science: Combines the capabilities of electronic l

The E-Notebook™ solution for research and development is an intuitive platform for data capture, archiving, and intellectual property protection. Replace labor-intensive and unreliable paper-based processes in scientific discovery with our intuitive, flexible, and collaborative Electronic Lab Notebook. Scientists will spend more time on research by minimizing the time spent on collecting, collating, analyzing, and managing data. E-Notebook has modules and capabilities for Chemistry, Formulations

Pan.bio is an end-to-end genomics platform that connects bioinformatics pipeline execution, exploratory analysis, clinical variant interpretation, and patient cohort data exchange in one system. The platform includes four products: Workflows runs validated Nextflow and nf-core pipelines, including Sarek, RNA-seq, single-cell, metagenomics, ChIP-seq, ATAC-seq and ampliseq, without local installation or command line use. Teams execute production bioinformatics workflows without managing infrastr

WisBot is an AI-powered assistant designed to streamline data science and machine learning workflows by transforming raw data and user queries into comprehensive, ready-to-use solutions. It automates the creation of executed Jupyter Notebooks, exploratory data analysis (EDA) reports, trained machine learning models, and deployment-ready code, all without requiring local setup. Key Features and Functionality: - Executed Jupyter Notebooks: WisBot generates fully executed notebooks that include c

The AISE PyTorch 0.4 Python 3.6 CPU Notebook is a pre-configured, fully integrated runtime environment designed for machine learning and data science applications. It combines PyTorch 0.4, an open-source machine learning library, with Python 3.6 and Jupyter Notebook, a browser-based interactive platform for programming and data analysis. Optimized for CPU performance, this environment facilitates efficient development and execution of machine learning models without the need for GPU resources.

The AISE TensorFlow 1.7 Python 3.6 CPU Notebook is a pre-configured, fully integrated runtime environment designed for machine learning and data science applications. It combines TensorFlow 1.7, an open-source machine learning library, with Python 3.6 and Jupyter Notebook, a browser-based interactive platform for programming and data analysis. This setup is optimized for CPU performance, providing a stable and efficient environment for developing and deploying machine learning models. Key Featu