SKU: 12940168443

Autel MaxiLink ML629 OBD2 Scanner for ABS, SRS, Engine & Trans

Sale price$102.60 Regular price$114.00
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Description

Autel MaxiLink ML629 OBD2 Scanner for ABS, SRS, Engine & TransAutel ML629 OBD2 Scanner Full System Diagnostic Tool for ABS, SRS, Engine & Transmission The 2025 Autel MaxiLink ML629 is an advanced diagnostic scanner designed for professionals and DIYers alike. It provides complete OBDII functions, plus deep diagnostics for the Engine, Transmission, ABS, and SRS systems. This upgraded version of the AL619 and AL629 offers AutoVIN, live data graphing, smog check readiness, and lifetime free updates all in a

Autel ML629 OBD2 Scanner – Full System Diagnostic Tool for ABS, SRS, Engine & Transmission

The 2025 Autel MaxiLink ML629 is an advanced diagnostic scanner designed for professionals and DIYers alike. It provides complete OBDII functions, plus deep diagnostics for the Engine, Transmission, ABS, and SRS systems. This upgraded version of the AL619 and AL629 offers AutoVIN, live data graphing, smog check readiness, and lifetime free updates – all in a compact, easy-to-use tool.

Key Features

Advanced 4-System Diagnostics

  • Reads/clears codes for Engine, Transmission, ABS, and SRS systems
  • Turns off system-related warning lights
  • Supports models from 2002–2016/2017 (vehicle-specific)

Full OBDII Functions

  • Read/Clear DTCs, live data, freeze frame, O2 sensor & EVAP tests
  • I/M readiness for smog checks and emissions testing
  • Supports all 10 OBDII modes for complete emissions diagnostics

Smog Check & Emission Readiness

  • Retrieve I/M readiness status to ensure compliance
  • Monitor fuel system, catalyst, O2 sensors, EVAP and more

Smart Features for Faster Repairs

  • AutoVIN automatically detects vehicle information
  • DTC Lookup for fast definitions of trouble codes
  • Graph and analyze live sensor data for accurate diagnostics
  • Data playback and printing via Windows PC

Wider Compatibility & Language Support

  • Works on most US (post-1996), EU (post-2006), Asian (post-2009) vehicles
  • Supports 30+ makes for 4-system diagnostics
  • English pre-installed; other languages unlockable on request

Reliable Updates & Support

  • Lifetime free software updates
  • 1-year warranty & 30-day return policy
  • 24/7 technical support via [email protected]

Product Details

  • Model: MaxiLink ML629
  • Part Number: ML629
  • Color: Grey
  • EAN: 0849438001841
  • Package Size: 10.6 x 7.5 x 3.7 inches
  • Languages: English (others available upon request)

Note: Not all functions are available for all vehicles. Please confirm compatibility by sending your car’s model, year, and VIN to [email protected].

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 12940168443

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Rory Derrick
Alexandria, US
★★★★★ 5
Good book
Format: Paperback
Still working through it but I have no complaints. I have a shelf of no starch books and have not been disappointed by any. Some, of course, are better than others but this is a good book.
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Reviewed in the United States on December 2, 2021
C
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Cory P.
Alexandria, US
★★★★★ 5
Dive into Algorithms is more like eating a Parfait than trying understand algorithms!
Format: Paperback
Seriously though great writing and explanation along with great history lessons. Also highly recommend for anyone working in the data science field.
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Reviewed in the United States on August 3, 2021
F
Verified Purchase
Frank Gonzalez
Dallas, US
★★★★★ 3
Ok content, not great explanations (2.5 our of 5 stars)
Format: Paperback
I found the contents of this book to be simply ok: either too simple, or the more complicated algorithms and concepts would not be as carefully explained as they should have been. It is not a terrible book, but it feels as though the author did not go over many drafts/iterations of this work.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 7, 2024
I
Ira Laefsky
Birmingham, US
★★★★★ 5
An Excellent Self-Discovery Approach to Learning Algorithms
Format: Paperback
I have an Ivy League Master's Degree in Computer Science although it was accomplished 35 years ago. Of course, I had to complete an ACM-type course in Algorithms and Data Structures on the undergraduate and graduate level and managed to by rote accomplish enough to satisfy these courses. But until seeing this great book I never had the feeling of gaining an understanding of the approach to learning and building algorithms and the extent to which it is an important component of all programs. By a journey of guided self-discovery the author shows, not only the necessity of algorithms and their canonical forms, but a path to understanding the construction of algorithms to accomplish common and not so common practical problems. These range from the simple to understand, e.g. implementing Russian Peasant Multiplication, to advanced and up to date topics like Machine Learning. The highest praise I can give this book is that as a journey of guided self-discovery it produces an understanding in the reader of the process of constructing and understanding these algorithms and their place in all programming.
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Reviewed in the United States on February 7, 2021
S
Susan
Lexington, US
★★★★★ 5
Easy to understand, makes algorithms exciting again!
Format: Kindle
Dive Into Algorithms speaks to me directly as a very intrepid beginner myself. I was given another "learn Python" book several years ago and it languishes on a shelf undisturbed to this day. Dive Into Algorithms had me hooked by the first parfait recipe. Mr. Tuckfield explains concepts in such a way that any student can learn something. The history, physics, cooking, and math lessons teach us that algorithms are everywhere, and they're not big scary 'big data' monsters out to ruin us. Instead, they're tools to help understand the world around us. This book has made me excited about programming again. Thank you.
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Reviewed in the United States on January 28, 2021

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