Software Alternatives, Accelerators & Startups

Explorium VS Numerai

Compare Explorium VS Numerai and see what are their differences

Explorium logo Explorium

Explorium is an External Data Platform that offers ML and AI-based datasets so data scientists can take part in data science competitors and marathons to win prizes.

Numerai logo Numerai

Hedge fund that crowdsources market trading from AI programmers over the Internet
  • Explorium Landing page
    Landing page //
    2023-08-25
  • Numerai Landing page
    Landing page //
    2023-06-15

Explorium features and specs

  • Extensive Data Source Integration
    Explorium connects to a wide range of data sources, enabling businesses to enrich their datasets with external data. This can lead to more comprehensive insights and improved decision-making.
  • Automated Data Enrichment
    The platform automates the process of data enrichment, which speeds up the ability to build predictive models and derive actionable insights without manual data wrangling.
  • Advanced AI and Machine Learning Capabilities
    Explorium leverages sophisticated AI and machine learning algorithms to identify the most relevant data features and improve model accuracy and outcomes.
  • User-Friendly Interface
    The user interface is designed to be intuitive, making it easier for users, including those with limited technical expertise, to interact with and leverage the platform efficiently.
  • Scalability
    Explorium's cloud-based solution allows for scalability, meaning it can handle large volumes of data and adapt to growing business needs.

Possible disadvantages of Explorium

  • Cost
    The platform may be expensive for small businesses or startups, as the pricing might be more suitable for larger enterprises with bigger budgets.
  • Data Privacy Concerns
    Integrating external data sources can raise data privacy and compliance concerns, especially for industries that are heavily regulated.
  • Complexity in Data Selection
    With a vast amount of data available, it may be challenging for users to select the most relevant datasets without proper guidance or expertise.
  • Dependence on Internet Connectivity
    As a cloud-based service, Explorium requires a stable internet connection, which could be a limitation in environments with unreliable connectivity.
  • Learning Curve
    Despite its user-friendly interface, there may still be a learning curve for new users to fully utilize all available functionalities and features.

Numerai features and specs

  • Innovative Crowdsourcing Model
    Numerai utilizes a crowdsourced approach to hedge fund management, inviting data scientists worldwide to contribute predictive models for stock market forecasts. This approach encourages diverse ideas and has the potential to improve forecast accuracy.
  • Data Anonymization
    Numerai provides data that is anonymized and purified, which allows data scientists to focus on modeling without worrying about privacy concerns and protecting proprietary data.
  • Potential Earnings
    Participants can earn rewards in the form of the cryptocurrency Numeraire (NMR) based on the performance of their models, which provides a financial incentive for contributing high-quality models.
  • Transparent Performance Monitoring
    Numerai provides a transparent performance evaluation system, allowing contributors to track the effectiveness of their models and see how they stack up against others in the community.
  • Community Collaboration
    The platform fosters a sense of community among data scientists, encouraging them to share ideas, collaborate, and learn from one another through forums and various competitions.

Possible disadvantages of Numerai

  • Complexity of Modeling
    Creating predictive models for financial markets is inherently complex and requires a deep understanding of data science and statistical methods, which may not be suitable for novice data scientists.
  • Volatility of Earnings
    Given that rewards are paid in cryptocurrency (NMR), the value of earnings may be subject to high volatility, which can affect the financial stability of potential earnings from model contributions.
  • Limited Data Visibility
    Due to the anonymized nature of the data provided, contributors may miss certain nuances and context that could be useful for building more effective models.
  • Competition Intensity
    Being a globally open platform, Numerai attracts a large number of participants, which means high competition and potentially lower chances of achieving top-tier rewards.
  • Dependence on Platform
    Contributors' success is heavily dependent on the stability and integrity of the Numerai platform, which can be a risk factor if there are changes to platform policies or rewards structures.

Explorium videos

Introducing Explorium: The External Data Platform

More videos:

  • Review - Explorium External Data Platform for Fintech
  • Review - Explorium Starters in 2 mins

Numerai videos

Numerai Starter Pack #1: Intro to Numerai

More videos:

  • Review - Richard Craib: WallStreetBets, Numerai, and the Future of Stock Trading | Lex Fridman Podcast #159
  • Review - E729: Founder Richard Craib shares A.I. hedge fund Numerai, blockchain & mission to manage worldโ€™s $

Category Popularity

0-100% (relative to Explorium and Numerai)
Development
50 50%
50% 50
Education & Reference
56 56%
44% 44
Data Collaboration
0 0%
100% 100
Online Learning
100 100%
0% 0

User comments

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

Social recommendations and mentions

Based on our record, Numerai seems to be more popular. It has been mentiond 20 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.

Explorium mentions (0)

We have not tracked any mentions of Explorium yet. Tracking of Explorium recommendations started around Feb 2022.

Numerai mentions (20)

  • Sci-Hub Sci-Net
    Numerai? Though I'm not so sure - their coin seems to have lost a lot of dollar value since I last checked. https://numer.ai/. - Source: Hacker News / 5 months ago
  • Cryptographers Solve Decades-Old Privacy Problem
    For example the Numerai hedge fund's data science tournament for crowdsourced stock market prediction is giving out their expensive hedge fund quality data to their users but it's transformed enough that the users don't actually know what the data is, yet the machine learning models are still working on it. To my knowledge it's not homomorphic encryption because that would be still too computational expensive, but... - Source: Hacker News / almost 2 years ago
  • Stock Market Charts You Never Saw
    If you are interested in the machine learning part, you can try the Numerai tournament ( http://numer.ai ). They provide obfuscated high quality hedge fund data that participants can train their models on and send back only their predictions and then they combine the user's predictions into their market neutral meta model which they actively trade. So far their fund's returns looks promising in their category... - Source: Hacker News / over 2 years ago
  • [P] Seeking collaboration with VERY experience ML scientist (Lucrative opportunity)
    This does not solve your problem, but you would be interested in https://numer.ai which is a "wisdom of the crowds" ML competition for stock market predictions. Source: about 3 years ago
  • Ask HN: Who is hiring? (January 2022)
    Company: Numerai (https://numer.ai) Position: Web Developer Location: San Francisco (Remote/On-site with WFH days) Numerai is a new kind of hedge fund powered by thousands of competing data scientists from around the world, all working to predict the stock market. - Source: Hacker News / over 3 years ago
View more

What are some alternatives?

When comparing Explorium and Numerai, you can also consider the following products

Coresignal - Access millions of detailed company, employee, and job posting data records and gain a panoramic understanding of businesses worldwide.

Colaboratory - Free Jupyter notebook environment in the cloud.

Kaggle - Kaggle offers innovative business results and solutions to companies.

Infosec Skills - Infosec Skills is technical expertise and engineering development knowledge-building platform where engineers and technical experts can come together to share and learn about the latest security development techniques and strategies.

Crowd AnalytiX - Crowd AnalytiX is a data science community and a perfect solution for businesses that want to take advantage of AI but donโ€™t have the in-house expertise or resources.

DataSource.ai - Community-funded data science tournaments