Software Alternatives, Accelerators & Startups

Keywords Everywhere VS Activeloop

Compare Keywords Everywhere 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.

Keywords Everywhere logo Keywords Everywhere

Free browser add-on for keyword volume, CPC & competition

Activeloop logo Activeloop

Data lake for machine and deep learning. The fastest dataset management tool for computer vision.
  • Keywords Everywhere Landing page
    Landing page //
    2023-09-19
  • 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
$450.0 / Monthly (Growth Plan for up to 10 users)
Platforms
AWS GCP Python
Release Date
2019 July

Keywords Everywhere features and specs

  • Comprehensive Metrics
    Keywords Everywhere provides detailed metrics such as search volume, CPC, and competition data, helping users make informed decisions for SEO and PPC strategies.
  • Ease of Use
    The browser extension integrates seamlessly with essential tools like Google Search, YouTube, and Google Analytics, making it convenient to access keyword data directly from these platforms.
  • Affordability
    Offers a pay-as-you-go pricing model, which can be more cost-effective for small businesses and individual users compared to subscription-based services.
  • Data Across Platforms
    Provides keyword data for multiple platforms including Google, YouTube, Amazon, and more, which is valuable for diverse digital marketing strategies.
  • Time Saver
    By displaying keyword metrics directly in search engine results and other tools, it significantly reduces the time needed to gather and analyze keyword data.

Possible disadvantages of Keywords Everywhere

  • Limited Free Version
    The free version offers very limited features, driving users to purchase credits for more comprehensive data.
  • Dependency on Browser Extension
    Requires a browser extension to function, which may not be suitable for all users or devices and could raise privacy/security concerns.
  • Accuracy Variability
    As with many keyword tools, the accuracy of the data can occasionally be inconsistent, which may affect strategic decisions.
  • Limited Advanced Features
    While great for basic keyword research, it lacks some of the advanced features offered by more robust SEO tools, such as detailed competitive analysis or site audits.
  • Potential for Data Overload
    The abundance of data displayed can sometimes be overwhelming, particularly for beginners who may struggle to interpret and utilize it effectively.

Activeloop features and specs

No features have been listed yet.

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

Keywords Everywhere videos

How to use Keywords Everywhere - SEO keyword research tool

More videos:

  • Review - KEYWORDS EVERYWHERE is now a PAID TOOL - Here's What To Do - Keywords Everywhere Alternative
  • Tutorial - Keywords Everywhere | A Tutorial + Advice on Keywords for YouTube
  • Review - Keywords Everywhere Review: Better Alternative to Google Keyword Planner
  • Review - Keywords Everywhere Review | Best Keyword Search Volume Chrome Extension! ๐Ÿš€
  • Review - Keywords Everywhere Review 2021 | Keyword research Tool

Activeloop videos

Activeloop Product Demo Video

Category Popularity

0-100% (relative to Keywords Everywhere and Activeloop)
SEO Tools
100 100%
0% 0
Machine Learning
0 0%
100% 100
SEO
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

Share your experience with using Keywords Everywhere and Activeloop. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Keywords Everywhere and Activeloop

Keywords Everywhere Reviews

112 Best Chrome Extensions You Should Try (2021 List)
Keywords Everywhere is an alternative to Ubersuggest, a freemium keyword research tool. It shows the search query data on more than 15 websites. For free users, it shows a trend chart, long-tail keywords, and keywords from โ€˜people also search forโ€™. But, paid users can see monthly search volume, CPC, competition, and trend data. Although solely for keyword research, you do...
9ย Free Keywordย Research Tools (That CRUSH Google Keyword Planner)
Keywords Everywhere is a free add-on for Chrome (or Firefox). It adds search volume, CPC & competition data to all your favourite websites.
Source: ahrefs.com
73 Best SEO tools 2021 โ€“ The Most Epic List You Shouldnโ€™t Miss
While most use this tool strictly for Paid ads, Keywords Everywhere is very useful to help you discover long-tail keywords related to the ones you are searching for on Google.

Activeloop Reviews

We have no reviews of Activeloop yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Keywords Everywhere should be more popular than Activeloop. It has been mentiond 16 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.

Keywords Everywhere mentions (16)

  • SEO 101 for Software Developers
    To find keywords I use the tool Keywords Everywhere. It gives you information on how many people search for a particular keyword a month, how difficult it will be to rank for, as well ideas for additional keywords. - Source: dev.to / over 2 years ago
  • How to Manage Your Time as a Software Developer โŒ›๏ธ
    For example, I do a lot of keyword research for my blog posts and YouTube videos. This generally consists of searching for keywords on Google and then copying the numbers that I get from Keywords Everywhere into a spreadsheet. - Source: dev.to / about 3 years ago
  • My Guide To Shopify Store Keyword Research
    You may be thinking to yourself well that's it right? I know what works and what doesn't, well not exactly because you don't just want to copy everything your competition does or you'll be competing with them all the time and that's a losing battle for most small stores. So step 2 is I cross reference it with another tool called keywords everywhere. As I mentioned this tool can be similar to Ahrefs as you can scan... Source: about 3 years ago
  • GMB Stats?
    Keywords everywhere again, not sure if it's match for you. Source: about 3 years ago
  • Keyword research
    Step 2: keywordseverywhere.com ($10 for 100K SV check - it's a chrome extension), run your list through this and get all SV. Source: over 3 years ago
View more

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: about 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: about 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 Keywords Everywhere and Activeloop, you can also consider the following products

KeywordTool.io - KeywordTool.io is the best FREE alternative to Google Keyword Planner and Ubersuggest. It uses Google's autocomplete feature to get over 750+ long-tail keywords for any given query.

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

Moz - Backed by industry-leading data and the largest community of SEOs on the planet, Moz builds tools that make inbound marketing easy.

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

Soovle - Soovle is a customizable search engine provides the search suggestion of the best provider on the net.

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