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Koinly VS PyTorch

Compare Koinly VS PyTorch and see what are their differences

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Koinly logo Koinly

Koinly is the easiest way to monitor your crypto activity & file your taxes.

PyTorch logo PyTorch

Open source deep learning platform that provides a seamless path from research prototyping to...
  • Koinly Landing page
    Landing page //
    2021-10-12

Koinly is a cryptocurrency calculator trusted by crypto investors in over 20 countries. Koinly integrates with 700+ exchanges, blockchains, and wallets to give investors an easy and accurate way to track their crypto transactions in one place. From here, Koinly calculates the total capital gains and income an investor has derived from their crypto in any financial year.

  • PyTorch Landing page
    Landing page //
    2023-07-15

Koinly features and specs

  • User-Friendly Interface
    Koinly offers an intuitive and easy-to-navigate interface, making it accessible for both novice and experienced crypto investors.
  • Comprehensive Transaction Tracking
    The platform supports a wide range of cryptocurrencies and integrates with numerous exchanges and wallets, allowing for detailed transaction tracking.
  • Tax Reporting
    Koinly provides automated tax reports that comply with the regulations in various countries, simplifying the process of filing crypto taxes.
  • Accurate Calculations
    Koinly uses advanced algorithms to accurately calculate gains, losses, and income from your crypto activities.
  • Excellent Customer Support
    Users generally report positive experiences with Koinly's customer support, which is responsive and helpful.
  • Portfolio Insights
    The platform offers valuable insights into your crypto portfolio, including detailed analytics and performance tracking.

Possible disadvantages of Koinly

  • Cost
    While Koinly offers a free plan, advanced features and comprehensive reporting require a paid subscription, which might be expensive for some users.
  • Limited Free Plan
    The free plan has limitations on the number of transactions it can handle, which may not be sufficient for active traders.
  • Complex Transactions
    Some users have reported that the platform struggles with the accurate categorization and calculation of more complex transactions, such as DeFi activities.
  • Privacy Concerns
    Some users may be concerned about providing access to their exchange and wallet data, which involves sharing sensitive financial information with a third-party service.
  • Data Sync Issues
    Occasionally, there are reports of synchronization issues where data from exchanges or wallets doesn't update correctly or promptly.
  • Learning Curve for Detailed Features
    While basic features are user-friendly, some of the more advanced tools and customization options might have a steeper learning curve.

PyTorch features and specs

  • Dynamic Computation Graph
    PyTorch uses a dynamic computation graph, which allows for interactive and flexible model building. This is particularly beneficial for researchers who need to modify the network architecture on-the-fly.
  • Pythonic Nature
    PyTorch is designed to be deeply integrated with Python, making it very intuitive for Python developers. The framework feels more 'native' to Python, which improves the ease of learning and use.
  • Strong Community Support
    PyTorch has a large, active, and growing community. This means abundant resources such as tutorials, forums, and third-party tools are available to help developers solve problems and share solutions.
  • Flexibility and Control
    PyTorch offers granular control over computations and provides extensive debugging capabilities. This level of control is beneficial for tasks that require precise tuning and custom implementations.
  • Support for GPU Acceleration
    PyTorch offers seamless integration with GPU hardware, which significantly accelerates the computation process. This makes it highly efficient for deep learning tasks.
  • Rich Ecosystem
    PyTorch has a rich ecosystem including libraries like torchvision, torchaudio, and torchtext, which are specialized for different data types and can significantly shorten development times.

Possible disadvantages of PyTorch

  • Limited Production Deployment Tools
    PyTorch is primarily designed for research rather than production. While deployment tools like TorchServe exist, they are not as mature or integrated as solutions offered by other frameworks like TensorFlow.
  • Lesser Adoption in Industry
    While PyTorch is popular among researchers, it has historically seen less adoption in industry compared to TensorFlow, which means there might be fewer resources for large-scale production deployments.
  • Inconsistent API Changes
    As PyTorch continues to evolve rapidly, occasionally there are breaking changes or inconsistent API updates. This can create maintenance challenges for existing codebases.
  • Steeper Learning Curve for Beginners
    Despite its Pythonic design, PyTorch's focus on flexibility and control can make it slightly harder for beginners to get started compared to some other high-level libraries and frameworks.
  • Less Mature Documentation
    Although the documentation is improving, it has been historically less comprehensive and mature compared to other frameworks like TensorFlow, which can make it difficult to find detailed, clear information.

Analysis of Koinly

Overall verdict

  • Overall, Koinly is considered a reliable and efficient tool for managing cryptocurrency taxes. It is well-suited for individuals who seek an automated solution to handle their crypto tax responsibilities and wish to ensure compliance without hassle.

Why this product is good

  • Koinly is often regarded as a good cryptocurrency tax software due to its user-friendly interface, comprehensive support for a wide range of exchanges and wallets, and its ability to generate tax reports compliant with various countries' regulations. It automates the tedious process of tracking transactions, calculating gains and losses, and preparing necessary tax documents. Additionally, it supports multiple currencies and offers detailed features that cater to both casual investors and professional traders.

Recommended for

  • Cryptocurrency investors seeking an easy-to-use tax solution
  • Frequent traders needing comprehensive transaction tracking
  • Individuals looking for a software compatible with various international tax jurisdictions
  • Users who want to automate their tax reporting process

Analysis of PyTorch

Overall verdict

  • Yes, PyTorch is considered a good deep learning framework.

Why this product is good

  • Ease of Use: PyTorch has an intuitive interface that makes it easier to learn and use, especially for beginners.
  • Dynamic Computation Graphs: PyTorch employs dynamic computation graphs, which provide more flexibility in building and modifying models on the fly.
  • Strong Community and Support: PyTorch has a large and active community, offering extensive resources, forums, and tutorials.
  • Research Adoption: PyTorch is widely adopted in the research community, making state-of-the-art models and techniques readily available.
  • Integration: PyTorch integrates well with other libraries and tools in the Python ecosystem, providing robust support for various applications.

Recommended for

  • Researchers and Academics: Ideal for those who need a flexible and dynamic tool for experimenting with new models and techniques.
  • Industry Practitioners: Suitable for developers and data scientists working on production-level machine learning solutions.
  • Educators and Learners: Great for educational purposes due to its easy-to-understand syntax and comprehensive documentation.

Koinly videos

+ Add

Ripple’s Shareholder SBI Invest in QIWI. Ripple Unleashes 1B XRP. Koinly to Add Support for XRP!

More videos:

  • Review - Koinly Review - Paying Taxes on Crypto The Easy Way
  • Review - Koinly Review: The BEST for Crypto Taxes?

PyTorch videos

+ Add

PyTorch in 5 Minutes

More videos:

  • Review - Jeremy Howard: Deep Learning Frameworks - TensorFlow, PyTorch, fast.ai | AI Podcast Clips
  • Review - PyTorch at Tesla - Andrej Karpathy, Tesla

Category Popularity

0-100% (relative to Koinly and PyTorch)

Koinly

PyTorch

Cryptocurrencies
100 100%
Cryptocurrencies
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Crypto
100 100%
Crypto
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Koinly and PyTorch. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Koinly and PyTorch

Koinly Reviews

Best Cryptocurrency Tax Software: Complete Guide to the Top Options
The automated data import is available via either an API exchange connection or by adding cryptocurrency wallet addresses. Data on margin trading, futures trading, staking, lending and DeFi can also be imported. An interesting feature is Koinly’s smart transfer matching, which leverages an artificial intelligence system to detect transfers that are made between your personal...
Source: blockonomi.com
14 Best Crypto Tax Software to Ease Your Calculation and Be Compliant
Koinly has a very generous free subscription that permits up to 10,000 transactions with lots of additional features. It supports the usual FIFO, LIFO, average cost basis, etc., for tax accountancy.
Source: geekflare.com
15 Best Koinly Alternatives 2022
As the name suggests, CryptoTax Calculator provides easy-to-understand tax calculations with customizable rules to support your unique tax needs. CryptoTax Calculator is an excellent Koinly substitute that does a better job than Koinly in giving powerful and accurate tax reports.
Source: rigorousthemes.com

PyTorch Reviews

10 Python Libraries for Computer Vision
Similar to TensorFlow and Keras, PyTorch and torchvision offer powerful tools for computer vision tasks. PyTorch’s dynamic computation graph and torchvision’s datasets and pre-trained models make it easy to implement tasks such as image classification, object detection, and style transfer.
Source: clouddevs.com
25 Python Frameworks to Master
Along with TensorFlow, PyTorch (developed by Facebook’s AI research group) is one of the most used tools for building deep learning models. It can be used for a variety of tasks such as computer vision, natural language processing, and generative models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
PyTorch is another open-source machine learning framework that is widely used in academia and industry. PyTorch provides excellent support for building deep learning models, and it has several pre-trained models for computer vision tasks, making it the ideal tool for several computer vision applications. PyTorch offers a user-friendly interface that makes it easier for...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
When we compare HuggingFace model availability for PyTorch vs TensorFlow, the results are staggering. Below we see a chart of the total number of models available on HuggingFace that are either PyTorch or TensorFlow exclusive, or available for both frameworks. As we can see, the number of models available for use exclusively in PyTorch absolutely blows the competition out of...
Source: www.assemblyai.com
15 data science tools to consider using in 2021
First released publicly in 2017, PyTorch uses arraylike tensors to encode model inputs, outputs and parameters. Its tensors are similar to the multidimensional arrays supported by NumPy, another Python library for scientific computing, but PyTorch adds built-in support for running models on GPUs. NumPy arrays can be converted into tensors for processing in PyTorch, and vice...
Source: searchbusinessanalytics.techtarget.com

Social recommendations and mentions

Based on our record, Koinly should be more popular than PyTorch. It has been mentiond 306 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.

Koinly mentions (306)

  • Tax Question. If i buy $1000 worth of crypto and sell 50% on a double and then let the balance ride. Am i exempt from paying tax on that transaction?
    Every transaction you make with crypto is a taxable event. Even buying something with your bitcoin is a taxable event. So instead of looking at your balance, you have to look at each and every transaction and see how much you paid for the asset, how much you sold it for, and how long you held it. The ATO will also want a report on your crypto transactions, which you can get from koinly.io. That will also... Source: over 1 year ago
  • 48-nation bloc to crack down on using crypto assets to avoid tax
    Https://koinly.io/ is a popular recommendation here in Denmark. Denmark may have the worst possible taxation for crypto: every time you sell, use or convert your crypto, that's an event where you have to calculate your gains or losses. Gains are taxed like personal income (so up to 53% tax), but losses can only be deducted at 26% they do not offset the gains directly. A school teacher speculating in crypto ended... - Source: Hacker News / over 1 year ago
  • Questions about defi
    -is it possible to track swaps and trades I'm making in defi via koinly.io or another tax tracking provider? I want to take advantage of long term capital gains vs short term whenever possible. Source: almost 2 years ago
  • I made around 90K profit from a meme coin (crypto)recently and I’m 18 years old and have no idea how to go about taxes. Please help me . Also what could I do with my profits ?
    Every trade where you go from 1 coin to another is a capital gains event. Take a look into https://koinly.io/ to calculate it for you. Source: about 2 years ago
  • Staked ETH Rewards on Coinbase
    I just bit the bullet and pay koinly.io to do it for me. The one thing I like about it is you can tag staked transaction (eth to eth2) as swaps so they don't show up on your taxes. It's actually free until you want them to generate a tax form for you. Source: about 2 years ago
View more

PyTorch mentions (133)

  • Grasping Computer Vision Fundamentals Using Python
    To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but... - Source: dev.to / about 1 month ago
  • Top Programming Languages for AI Development in 2025
    With the quick emergence of new frameworks, libraries, and tools, the area of artificial intelligence is always changing. Programming language selection. We're not only discussing current trends; we're also anticipating what AI will require in 2025 and beyond. - Source: dev.to / about 2 months ago
  • Fine-tuning LLMs locally: A step-by-step guide
    Next, we define a training loop that uses our prepared data and optimizes the weights of the model. Here's an example using PyTorch:. - Source: dev.to / 2 months ago
  • 10 Must-Have AI Tools to Supercharge Your Software Development
    8. TensorFlow and PyTorch: These frameworks support AI and machine learning integrations, allowing developers to build and deploy intelligent models and workflows. TensorFlow is widely used for deep learning applications, offering pre-trained models and extensive documentation. PyTorch provides flexibility and ease of use, making it ideal for research and experimentation. Both frameworks support neural network... - Source: dev.to / 4 months ago
  • Automating Enhanced Due Diligence in Regulated Applications
    Frameworks like TensorFlow and PyTorch can help you build and train models for various tasks, such as risk scoring, anomaly detection, and pattern recognition. - Source: dev.to / 4 months ago
View more

What are some alternatives?

When comparing Koinly and PyTorch, you can also consider the following products

CoinTracking - All Coins, all Analyzes, all Calculations, all Charts and all Prices for Bitcoin, Litecoin...

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

CoinTracker - The most trusted cryptocurrency tax and portfolio manager

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

CryptoTrader.Tax - Tax software for cryptocurrency

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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