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Braintree VS Evidently AI

Compare Braintree VS Evidently AI and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Braintree logo Braintree

An all-in-one solution to accept, process, and split payments in your mobile app or online - from small business to large enterprise.

Evidently AI logo Evidently AI

Open-source monitoring for machine learning models
  • Braintree Landing page
    Landing page //
    2018-10-10
  • Evidently AI Landing page
    Landing page //
    2023-08-19

Braintree videos

+ Add

Collect payments with the Braintree payment processor

More videos:

  • Review - Kai's Paypal vs Braintree vs Stripe tour

Evidently AI videos

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How to Monitor Machine Learning Models (Evidently AI)

Category Popularity

0-100% (relative to Braintree and Evidently AI)

Braintree

Evidently AI

Online Payments
100 100%
Online Payments
0% 0
Developer Tools
0 0%
Developer Tools
100% 100
Payment Platform
100 100%
Payment Platform
0% 0
AI
0 0%
AI
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Braintree and Evidently AI

Braintree Reviews

Would you use Paddle, Chargebee, Chargify, or just Stripe?
The value that those services provide is a single solution for both PayPal and Stripe. It's tempting, but paying someone forever like that isn't ideal. I would roll Stripe to start, then implement Braintree for PayPal at a later time.
Source: www.indiehackers.com
Australian Payment Gateways
Ideal for companies who want to want to expand globally (similar to Stripe mentioned above), Braintree (a subsidiary of PayPal) accepts payments in more than 130 currencies, with minimal fees. They also offer a premium mobile experience, accepting cards, PayPal and Apple Pay, and have flexible features including the ability to split payments between you and your...
Source: soulandwolf.com.au

Evidently AI Reviews

We have no reviews of Evidently AI yet.
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Social recommendations and mentions

Based on our record, Evidently AI seems to be more popular. It has been mentiond 2 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.

Braintree mentions (0)

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

Evidently AI mentions (2)

  • [D] Using MLFlow for model performance tracking
    It is doable. However the main focus of MLFlow is in experiment tracking. I would suggest for you to look into another monitoring tools such evidentlyai . You can track more things than performance (e.g.data drift). Which may be helpful in a production setting. Source: almost 2 years ago
  • Five Data Quality Tools You Should Know
    Evidently is an open-source Python library that analyzes and monitors machine learning models. It generates interactive reports based on Panda DataFrames and CSV files for troubleshooting models and checking data integrity. These reports show model health, data drift, target drift, data integrity, feature analysis, and performance by segment. - Source: dev.to / over 2 years ago

What are some alternatives?

When comparing Braintree and Evidently AI, you can also consider the following products

PayPal - PayPal is the faster, safer way to pay online without sharing financial details, send and receive money or accept credit and debit cards as a seller

ML Showcase - A curated collection of machine learning projects

Stripe - Online payment processing for internet businesses. Stripe is a suite of payment APIs that powers commerce for online businesses of all sizes. Use Stripe’s payment platform to accept and process payments online for easy-to-use commerce solutions.

Censius.ai - Building the future of MLOps

Payoneer - Whether making international payments, receiving funds, managing your digital business, or accessing capital, Payoneer opens your business up to the world.

iko.ai - Real-time collaborative notebooks on your own Kubernetes clusters to train, track, package, deploy, and monitor your machine learning models.

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