Software Alternatives, Accelerators & Startups

DeHashed VS socketify.py

Compare DeHashed VS socketify.py 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.

DeHashed logo DeHashed

DeHashed is the largest & fastest data breach search engine.

socketify.py logo socketify.py

Maybe the fastest web framework for Python and PyPy
  • DeHashed Landing page
    Landing page //
    2022-04-21
  • socketify.py Landing page
    Landing page //
    2023-09-24

DeHashed features and specs

  • Comprehensive Database
    DeHashed boasts a large repository of breached data, providing users with extensive coverage to check for compromised information.
  • Real-time Search
    The platform offers real-time search capabilities, allowing users to quickly find and verify compromised data across multiple data breaches.
  • User-Friendly Interface
    DeHashed has an intuitive user interface that makes it easy for both technical and non-technical users to navigate and utilize the service.
  • Multiple Search Options
    Users can search by various parameters, including email, username, IP address, and more, increasing the flexibility and usability of the service.
  • API Access
    For developers and organizations, DeHashed offers API access, enabling integration into other security tools and systems for automated monitoring.

Possible disadvantages of DeHashed

  • Paid Service
    While providing valuable services, DeHashed comes with a cost, which may be a barrier for individuals or small organizations with limited budgets.
  • Data Privacy Concerns
    Users may have concerns about submitting their information to check against the database, fearing the potential misuse of their data.
  • Limited Free Access
    The free tier of DeHashed offers only basic functionality, and advanced features are restricted to paid subscriptions, potentially limiting its utility for casual users.
  • Dependency on External Data Sources
    The accuracy and comprehensiveness of DeHashed are reliant on the quality and recency of external breached data sources, which may not always be up-to-date.
  • Potential False Positives
    As with any data breach repository, there is a risk of encountering false positives, where non-compromised data is mistakenly flagged, leading to potential confusion.

socketify.py features and specs

  • High Performance
    Socketify.py is designed for high scalability and performance, leveraging an efficient event loop and native extensions to handle a large number of concurrent connections efficiently.
  • WebSocket Support
    The library provides built-in support for WebSockets, making it suitable for real-time applications where persistent connections between client and server are necessary.
  • Asynchronous I/O
    Socketify.py is built on top of asynchronous I/O paradigms, allowing non-blocking operations that can improve the throughput of networked applications.
  • Ease of Use
    The library offers a clean and straightforward API with examples and documentation, which lowers the barrier to entry for developers who are new to network programming in Python.
  • Python Integration
    Being a Python library, socketify.py integrates well with existing Python applications and can be included as part of larger, multi-component systems.

Possible disadvantages of socketify.py

  • Limited Adoption
    As a relatively new or niche library, socketify.py might have a smaller user base and community compared to more established frameworks like Flask or Django, which could result in fewer community resources and third-party integrations.
  • Learning Curve
    For developers who are accustomed to synchronous programming paradigms, adapting to the asynchronous programming model of socketify.py may require an initial learning investment.
  • Documentation Depth
    While there is documentation, it might not be as extensive or comprehensive as those of more mature libraries, potentially requiring more experimentation or source code reading to fully grasp advanced features.
  • Potential Stability Issues
    Being less established, there might be undiscovered bugs or stability issues in production environments compared to long-standing Python networking libraries.
  • Ecosystem Limitations
    The library might lack some of the extensive third-party plugins or tools available in more popular frameworks, which could limit its extensibility.

Analysis of DeHashed

Overall verdict

  • DeHashed is generally regarded as a good service for those looking to keep track of their personal or organizational data exposure. It is particularly useful in cybersecurity for identifying potential threats and taking preventative actions.

Why this product is good

  • DeHashed is a tool commonly used for identifying compromised accounts and exposed data by searching billions of stolen records from data breaches. Its appeal lies in its comprehensive database, real-time breach alerts, and ability to provide information on usernames, emails, IP addresses, and other identifiers. Many users find it beneficial for its ease of use and efficiency in identifying personal data leaks.

Recommended for

    Individuals or businesses concerned about unauthorized data exposure, cybersecurity professionals, researchers focusing on data breaches, and anyone wanting to monitor for potential identity theft threats.

Analysis of socketify.py

Overall verdict

  • Socketify.py is a solid choice for developers seeking a high-performance web framework in Python, particularly for I/O-bound applications requiring speed comparable to frameworks in compiled languages, thanks to its use of uWebSockets under the hood.

Why this product is good

  • Built on uWebSockets, providing significant performance improvements over traditional Python web frameworks
  • Supports WebSockets natively, making it suitable for real-time applications
  • Lightweight and minimalistic design reduces overhead
  • Compatible with ASGI, allowing integration with existing Python async ecosystem
  • Active development and growing community support on GitHub
  • Good for building high-throughput APIs and services

Recommended for

  • Developers building real-time applications like chat apps or live notifications
  • Projects requiring high concurrency and low latency in Python
  • Teams looking to replace slower WSGI-based frameworks with something faster
  • Applications needing WebSocket support without heavy framework overhead
  • Microservices architectures where performance is critical
  • Python developers wanting an alternative to Node.js for performance-sensitive tasks

DeHashed videos

DeHashed - Hacked Data Search Engine

socketify.py videos

No socketify.py videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to DeHashed and socketify.py)
Security & Privacy
100 100%
0% 0
Python
0 0%
100% 100
Data Breach
100 100%
0% 0
Web Development
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, DeHashed should be more popular than socketify.py. 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.

DeHashed mentions (16)

  • Email address suggestions?
    You can try Dehashed (Paid, only a few bucks) and Holehe (Free. If you don't want to install it, use it through epieos.com). Source: over 3 years ago
  • Best free reverse people search?
    After further looking it seems similar to https://dehashed.com. Source: over 3 years ago
  • They are hacking 2 step verification
    I'm sorry this happened to you, but don't be so surprised. Phishing and MITM attacks are alive and well, and 2-FA is just a bandaid for bad password practices. You might do well to check on dehashed.com for your own credentials. Source: almost 4 years ago
  • Where can I find leaked databases containing usernames and passwords?
    2 useful resources are: dehashed.com and https://github.com/hmaverickadams/breach-parse from heath adams. Keep in mind that it is not a good idea to use these in an unethical way. Doing illegal stuff can and will get you in trouble. Source: almost 4 years ago
  • How would I start to analyze an Instagram profile that appears to be a throwaway account?
    Agree with this! Sites like Dehashed will let you search for breached usernames and have relatively cheap options for a weekโ€™s worth of access. Source: about 4 years ago
View more

socketify.py mentions (2)

  • Show HN: Python framework is faster than Golang Fiber
    These "benchmarks" are useless, they're not testing anything real world except the performance of uWebsockets. There are copy errors all over the place. And then an advertisement: https://github.com/cirospaciari/socketify.py#briefcase-comme... Is this a professional framework that produces proper, real-world benchmarks and... - Source: Hacker News / over 3 years ago
  • This is how I started the development of the fastest ASGI and WSGI Server in TechEmPower Benchmarks
    After starting the project called socketify.py at https://github.com/cirospaciari/socketify.py, I got pretty good results and reviews, but many people asked if socketify.py could be used to create a WSGI and ASGI server. WSGI and ASGI have a lot of overhead, that's is why I choose not to use them in the first place, but adding an ASGI and WSGI server allows a lot of code already written to run faster! Source: over 3 years ago

What are some alternatives?

When comparing DeHashed and socketify.py, you can also consider the following products

have i been pwned? - Check if your account has been compromised in a data breach

LeakCheck - Data breach search engine, low price starting from $10/mo, one email address for free, unlimited API, 7B+ entries

Snusbase - The industry leading database lookup.

Spybot Identity Monitor - Get an overview where your account was leaked.

NuclearLeaks - The biggest free-to-download collection of publicly available website databases for security researchers and journalists.

LeakBase - Check if your account credentials have been leaked.