Software Alternatives & Reviews

InvestWell Software VS FuzzyWuzzy

Compare InvestWell Software VS FuzzyWuzzy and see what are their differences

InvestWell Software logo InvestWell Software

InvestWell Mutual Fund Software simplify process, manages client portfolios & help them to grow. Financial Planning Software provides customized Portfolio Services, MIS, Sales Tools & more.

FuzzyWuzzy logo FuzzyWuzzy

FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
  • InvestWell Software Landing page
    Landing page //
    2021-07-28

InvestWell Financial Planning Software for IFAs & RIAs is one of most reliable cost effective tool. This Mutual Fund Software works for both Investors and Distributors.

Mutual Fund Software is used by Mutual Fund Distributors to provide value added services to their investors. A good software must have strong Portfolio tracking capabilities, robust CRM and reliable data accuracy.

InvestWell has been at the forefront of the Mutual Fund industry in providing solutions to Mutual Fund Distributors since the last 18+ years. They have Cloud as well On-Premise solution for Portfolio Management of all assets for your Investors.

  • FuzzyWuzzy Landing page
    Landing page //
    2023-10-20

Category Popularity

0-100% (relative to InvestWell Software and FuzzyWuzzy)
Finance
100 100%
0% 0
Spreadsheets
0 0%
100% 100
Financial Planner
100 100%
0% 0
NLP And Text Analytics
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, FuzzyWuzzy seems to be more popular. It has been mentiond 11 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.

InvestWell Software mentions (0)

We have not tracked any mentions of InvestWell Software yet. Tracking of InvestWell Software recommendations started around Mar 2021.

FuzzyWuzzy mentions (11)

  • Need help solving a subtitles problem. The logic seems complex
    Do fuzzy matching (something like fuzzywuzzy maybe) to see if the the words line up (allowing for wrong words). You'll need to work out how to use scoring to work out how well aligned the two lists are. Source: over 1 year ago
  • Thanks to this sub, we now have an Anki deck for Persona 5 Royal. Spreadsheet with Jp and Eng side by side too.
    Convert the original lines to full furigana and do a fuzzy match. (For reference, the original line is 貴方がこれまでに得てきた力、存分に発揮してくださいね。) You can do a regional search using the initial scene data (E60) first, and if the confidence is low, go for a slower full search. Source: over 1 year ago
  • Fuzzy search
    It's now known as "thefuzz", see https://github.com/seatgeek/fuzzywuzzy. Source: almost 2 years ago
  • I made a bot that stops muck chains, here are the phrases that he looks for to flag the comment as a muck comment. Are there any muck forms I forgot about?
    You can have a look at this library to use fuzzy search instead of looking for plaintext muck: https://github.com/seatgeek/fuzzywuzzy. Source: over 2 years ago
  • How would you approach this
    To deal with comparing the string, I found FuzzyWuzzy ratio function that is returning a score of how much the strings are similar from 0-100. Source: over 2 years ago
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What are some alternatives?

When comparing InvestWell Software and FuzzyWuzzy, you can also consider the following products

Flinks - Flinks is the only financial data aggregator dedicated to the Canadian market.

Amazon Comprehend - Discover insights and relationships in text

RightCapital - RightCapital is a financial and tax planning software solution.

spaCy - spaCy is a library for advanced natural language processing in Python and Cython.

Fast409A - Fast409A is a painless, time-efficient service provided in partnership with Solium.

Microsoft Bing Spell Check API - Enhance your apps with the Bing Spell Check API from Microsoft Azure. The spell check API corrects spelling mistakes as users are typing.