Cryptoworth vs. Jupyter Notebook

It may not be needed by all yet but will become more applicable as tax and self-assessment on crypto assets get cracked down on. It's best to stay ahead and use these products early in order to stay on top.

I've created a number of daisy chain notebooks for different workflows, and every time, I create my workflows with other users in mind. Jupiter Notebook makes it very easy for me to outline my thought process in as granular a way as I want without using innumerable small. inline comments.

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• Customer service and feedback
• Flexibility and openness to new transactions or chains
• User experience is great, intuitive, and always seems to get better

• Simple and elegant code writing ability. Easier to understand the code that way.
• The ability to see the output after each step.
• The ability to use ton of library functions in Python.
• Easy-user friendly interface.

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• The platform is prone to bugs
• The UI/UX is rather confusing to use and takes time to get used to
• Takes a considerable time to load and import all transactions

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• Need more Hotkeys for creating a beautiful notebook. Sometimes we need to download other plugins which messes [with] its default settings.
• Not as powerful as IDE, which sometimes makes [the] job difficult and allows duplicate code as it get confusing when the number of lines increases. Need a feature where [an] error comes if duplicate code is found or [if a] developer tries the same function name.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

We really like Cryptoworth as a product and their level of customer support is excellent. In particular I give a shoutout to one of their founders [...] who seems to be available night or day to troubleshoot! Subledger technology for blockchain is still a relatively new concept industry wide but Cryptoworth are a reliable and value for money market leader. They also are keen to collect feedback and continue to refine and improve.

Because of its intuitive interface, seamless integration with multiple exchanges and wallets, accurate portfolio tracking, and efficient automation of crypto accounting tasks. Its user-friendly design and comprehensive features make managing digital assets effortless and efficient.

Jupyter is highly simplistic. It took me about 5 mins to install and create my first "hello world" without having to look for help. The UI has minimalist options and is quite intuitive for anyone to become a pro in no time. The lightweight nature makes it even more likeable.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

Top customer support.

I haven't had a need to contact support. However, all required help is out there in public forums.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

Cryptoworth has competitors in the crypto accounting software field but there are things that it does best. One of the competitors that stack up against Cryptoworth is CoinTracker which has some similarities but also differences. For one, the UI look of CoinTracker may be more appealing to some users, such as myself. However, Cryptoworth is more robust and has more professional tools that some users can take advantage of.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

With Jupyter Notebook besides doing data analysis and performing complex visualizations you can also write machine learning algorithms with a long list of libraries that it supports. You can make better predictions, observations etc. with it which can help you achieve better business decisions and save cost to the company. It stacks up better as we know Python is more widely used than R in the industry and can be learnt easily. Unlike PyCharm jupyter notebooks can be used to make documentations and exported in a variety of formats.

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Independently Invited by TrustRadius

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• Positive Impact: more access to transaction data and visibility to funds.
• Negative Impact: Spending lots of time with CS team to identify bugs and duplicated entries.
• Positive Impact: Taxable events calculation.

Incentivized

Invited by TrustRadius (TR) on Vendor's Behalf

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• Positive impact: flexible implementation on any OS, for many common software languages
• Positive impact: straightforward duplication for adaptation of workflows for other projects
• Negative impact: sometimes encourages pigeonholing of data science work into notebooks versus extending code capability into software integration

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info