
CSV Cleaner
CSV2All
Csv Easy
neatcsv
Clean Spreadsheets
CleanSmart
MessyData.app
Free online CSV validator and cleaner. Fix encoding, duplicates, column types, date formats, and export to XLSX or JSON — no code required.

CoinGecko
CoinMarketCap
Crypto Price Monitor
Cryptoradar
Node Analytics
OpenMarketCap
Sourced crypto market data with indicator monitoring, market regime context and research. BTC, ETH, XRP, SOL + major indices monitored 24/7. Educational content — not investment advice.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | csviser.com | dataanalyticsystem.com |
| Pricing | ||
| Platforms | — | |
| Company | Startup from Ukraine · 2026 | Startup from Hungary |
| Listed in |
In their own words, as submitted to SaaSHub.


CSViser is an online CSV validation and cleaning tool that fixes common data quality issues without writing code. Upload a CSV (or XLSX/JSON) and get an instant RFC 4180 validation report with plain-English error explanations. Then fix detected problems in one click: remove blank rows, trim...
Data Analytic System (DAS) is an educational crypto-market platform run by Data Analytic Investments Kft. (Budapest, EU). What it offers: - Live, sourced market-data dashboards for BTC, ETH, XRP, SOL and other major assets, plus equity indices, FX and commodities - A MiCA / CASP authorisation...
What each product offers, as listed by its team.


Possible disadvantages
Walkthroughs and reviews on video.
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The Analyst Room — Ep. 2: RIPPLE, the book. 22 chapters, 4 languages, PDF + audiobook
More videos
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing CSViser and Data Analytic System.
Data Analytic System's answer:
Price trackers like CoinGecko or CoinMarketCap show numbers; Data Analytic System shows the numbers together with their source, date and context, and adds what trackers do not: an ESMA-based MiCA/CASP status list for EU exchanges, sourced documentary studies, a free glossary and learning modules, and multilingual e-books (EN, HU, ES). The free tier has no delay and the same data as the paid tier. We do not sell trading calls or recommendations of any kind.
Data Analytic System's answer:
Every data panel and every article names its source and date. The platform is run by a small Budapest-based publisher (Data Analytic Investments Kft.) and combines live market data for crypto, equity indices, FX and commodities with an EU MiCA/CASP authorisation tracker, a free glossary and learning modules, and documentary studies such as the RIPPLE book, in which every factual claim carries a verifiable reference. Content is produced with a documented human+AI verification workflow (Uncle Sunny method): a human editor closes every item. Educational content only, not investment advice.
Data Analytic System's answer:
People who want to understand crypto and macro markets rather than be told what to do: self-directed readers, students, journalists and compliance-minded professionals in the EU, plus Hungarian- and Spanish-speaking readers who lack sourced material in their language. Typical use: checking a data point with its source, reading the MiCA status of an exchange, or working through a learning module.
Data Analytic System's answer:
Data Analytic Investments Kft. was founded in Budapest in 2026 by Janos Szabo. The starting point was frustration with crypto content that mixes facts, opinion and promotion without references. The answer was a publishing method (Uncle Sunny) in which nothing is published before it is challenged and sourced, and a site built around that rule. The first flagship product was the RIPPLE documentary study (ISBN 978-615-83207 series, HU/EN/ES); the market-data dashboards, the MiCA tracker and the learning sections followed.
Data Analytic System's answer:
A TypeScript/React web application with server-side rendering, a MySQL database, and Stripe for payments. Market data comes from public exchange and data-provider APIs; regulatory data from ESMA registers. The editorial workflow uses several AI systems under human review, with every published claim tied to a named source.
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