Software Alternatives, Accelerators & Startups

drchrono VS Activeloop

Compare drchrono VS Activeloop and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

drchrono logo drchrono

An EHR built for your specialty:

Activeloop logo Activeloop

Data lake for machine and deep learning. The fastest dataset management tool for computer vision.
  • drchrono Landing page
    Landing page //
    2022-08-06
  • Activeloop Landing page
    Landing page //
    2021-09-20

About

Activeloop provides an optimized format for unstructured data, so users can stream their machine learning datasets while training ML models in PyTorch and TensorFlow. Activeloop acts as a data lake for deep learning on unstructured data and offers in-browser dataset visualization, querying, and version control. On top of those features, Activeloop integrates with experimentation and labeling tools to allow rapid iteration on computer vision datasets.

Activeloop supports the following use cases:

Machine Learning teams can apply Activeloop's data infrastructure to ship their models fast in the following use cases:

  1. AgriTech
  2. Audio processing
  3. Autonomous Vehicles & Robotics
  4. Biomedical and Healthcare ML
  5. Multimedia: Image enhancement, video enhancement, face detection, sports analytics, or machine learning for AR/VR
  6. Safety & Security: surveillance machine learning with biometrics, facial recognition, or crowd counting

Activeloop

$ Details
$450 / Monthly (Growth Plan for up to 10 users)
Platforms
AWS GCP Python
Release Date
2019 July

drchrono features and specs

  • Customizability
    drchrono offers a highly customizable platform that allows medical practices to tailor the system to specific needs, streamlining workflows to match unique practices.
  • Integrations
    It integrates well with other software such as billing services, lab services, and imaging services, providing a comprehensive suite for practice management.
  • Mobility
    drchrono is designed to be fully functional on iPads and iPhones, enabling healthcare providers to manage their practices effectively on-the-go.
  • E-Prescribing
    The platform includes robust e-prescribing features, including support for Controlled Substances, making the prescription process efficient and secure.
  • Patient Portal
    Patients have access to a user-friendly portal where they can fill out forms, schedule appointments, and communicate with providers, enhancing patient engagement.

Possible disadvantages of drchrono

  • Cost
    drchrono can be pricey, especially for smaller medical practices, with additional fees for certain advanced features and third-party integrations.
  • Learning Curve
    The platform's extensive customization and feature set can be overwhelming initially, requiring time and training to fully utilize.
  • Customer Support
    Some users report inconsistent customer support experiences, which can be a challenge when dealing with technical issues or needing timely assistance.
  • Limited Custom Reports
    While drchrono offers a variety of standard reports, creating highly specialized custom reports can be challenging and may require additional development.
  • iOS Dependency
    As the platform is optimized for Apple devices, practices using Android or other operating systems may not fully benefit, potentially limiting flexibility.

Activeloop features and specs

No features have been listed yet.

Analysis of drchrono

Overall verdict

  • DrChrono is generally considered a good option for healthcare practices looking for a comprehensive EHR (Electronic Health Record) and practice management solution.

Why this product is good

  • DrChrono offers a user-friendly interface with a wide range of features, including electronic health records, practice management, billing, patient engagement, and telehealth. It is praised for its customizable interface, mobile accessibility, and seamless integration with other systems. The platform supports compliance with healthcare regulations such as HIPAA, which is crucial for any medical practice. Additionally, the software provides accessible support and training resources which can be beneficial during the implementation phase.

Recommended for

    DrChrono is particularly recommended for small to mid-sized practices, independent healthcare providers, and those who want a flexible, mobile-friendly solution. It's especially appealing to tech-savvy practitioners who value a customizable platform that can grow with their practice's needs.

Analysis of Activeloop

Overall verdict

  • Activeloop is a solid choice for teams working with large-scale AI/ML datasets, particularly those involving unstructured data like images, video, and audio, offering a specialized data infrastructure (Deep Lake) that streamlines dataset versioning, storage, and streaming for machine learning workflows.

Why this product is good

  • Deep Lake format enables efficient storage and streaming of large unstructured datasets directly to ML training pipelines without full downloads
  • Built-in version control for datasets, similar to Git, making it easier to track changes and collaborate on data
  • Native integrations with popular ML frameworks like PyTorch and TensorFlow, plus support for vector search and LLM-based applications
  • Cloud-agnostic storage options allowing flexibility across AWS, GCP, and other providers
  • Strong focus on performance optimization for data loading, reducing bottlenecks in training large models
  • Growing ecosystem with support for multimodal data types, useful for computer vision and generative AI projects

Recommended for

  • ML engineers and data scientists working with large-scale image, video, or audio datasets
  • Teams building computer vision or multimodal AI applications
  • Organizations needing dataset version control integrated into their ML pipeline
  • Developers building retrieval-augmented generation (RAG) or LLM applications requiring vector storage
  • Startups and enterprises looking to optimize data loading performance for deep learning training
  • Teams seeking an alternative to traditional data lakes for AI-specific workloads

drchrono videos

Drchrono EHR review 2 years later: Still slow

More videos:

  • Review - Review: iPad Patient Check-in // drchrono EHR
  • Review - DrChrono EHR Review: Slow and unusable

Activeloop videos

Activeloop Product Demo Video

Category Popularity

0-100% (relative to drchrono and Activeloop)
Medical Practice Management
Machine Learning
0 0%
100% 100
Practice Management
100 100%
0% 0
Data Science
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Activeloop 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.

drchrono mentions (0)

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

Activeloop mentions (4)

  • [P] I built a Chatbot to talk with any Github Repo. ๐Ÿช„
    This repository contains two Python scripts that demonstrate how to create a chatbot using Streamlit, OpenAI GPT-3.5-turbo, and Activeloop's Deep Lake. The chatbot searches a dataset stored in Deep Lake to find relevant information and generates responses based on the user's input. Source: over 3 years ago
  • [D] NLP has HuggingFace, what does Computer Vision have?
    u/Remote_Cancel_7977 we just launched 100+ computer vision datasets via Activeloop Hub yesterday on r/ML (#1 post for the day!). Note: we do not intend to compete with HuggingFace (we're building the database for AI). Accessing computer vision datasets via Hub is much faster than via HuggingFace though, according to some third-party benchmarks. :). Source: over 4 years ago
  • [P] Database for AI: Visualize, version-control & explore image, video and audio datasets
    Hub, our open-source package, lets you stream datasets while training to PyTorch/TensorFlow. Check out how we achieved 95% GPU utilization while training on ImageNet at 50% less cost. We're building the Database for AI, with everything it should contain. If there's an adjacent feature that would make it more useful for your workflow, do let us know! Source: over 4 years ago
  • [P] Database for AI: Visualize, version-control & explore image, video and audio datasets
    I'm Davit from Activeloop (activeloop.ai). Source: over 4 years ago

What are some alternatives?

When comparing drchrono and Activeloop, you can also consider the following products

ChiroTouch - ChiroTouch chiropractic software and EHR is a fully integrated practice management software system with on-premises or cloud options.

Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.

eClinicalWorks - eClinicalWorks - the largest Cloud EHR in the nation. Make the switch to eClinicalWorks

Pachyderm - Pachyderm is an open source analytics engine that uses Docker containers for distributed computations.

Kareo - Kareo - Go Practice | Medical Office Software for Small Practices

Scale - Get human tasks done with just one line of code.