codebasics

Subscribers 1.5M

Videos 1.1K

Views 153.6M

Channels Like codebasics

Codebasics focuses on data analytics, programming tutorials, and AI/machine learning topics, with keywords including python, git, github, data science, and machine learning Python. Content appears as tutorials and educational guides (e.g., AI Roadmap, Agentic AI tutorials, MCP server tutorials) with an emphasis on practical how-to videos and explainers. The channel publishes frequently, with recent uploads contributing to an average of about 200.5K views per video.

AI summary

Similar Channels

We found 46 YouTube channels similar to codebasics

IBM Technology YouTube channel thumbnail

#1

IBM Technology view on YouTube

92% relevance

Subscribers 1.6M

Videos 1.5K

Views 108.6M

Appearances 58

SERP 100%

Similarity 86%

learn artificial intelligence no code AI code frameworks AI

Both target AI and code-related topics with high search overlap (learn artificial intelligence, no code AI, code frameworks AI) and do similar content themes, though IBM Technology’s approach is more enterprise-focused and less tutorial-driven than codebasics (search 100%, content 86%).

AI summary

#2

Jeff Su view on YouTube

63% relevance

Subscribers 1.6M

Videos 294

Views 91.5M

Appearances 16

SERP 39%

Similarity 79%

AI roadmap 2026 learn artificial intelligence build AI agent

Both cover AI roadmaps and building AI agents, aligning on the AI roadmap and agent tutorials, but Jeff Su emphasizes personal career paths and strategy while codebasics focuses on tutorials and how-to content (search 39%, content 79%; overall 63% match).

AI summary

#3

KodeKloud view on YouTube

62% relevance

Subscribers 322K

Videos 964

Views 25.5M

Appearances 13

SERP 25%

Similarity 87%

code frameworks AI RAG tutorial agentic AI explained

Both emphasize code frameworks and practical AI topics like RAG and agentic AI, with KodeKloud delivering depth in technical tutorials and code-oriented explanations (search 25%, content 87%; overall 62% match).

AI summary

freeCodeCamp.org YouTube channel thumbnail

#4

freeCodeCamp.org view on YouTube

59% relevance

Subscribers 11.5M

Videos 2.1K

Views 954.1M

Appearances 23

SERP 33%

Similarity 76%

learn artificial intelligence code frameworks AI RAG tutorial

Both offer broad AI and coding tutorials including code frameworks and RAG concepts, appealing to learners seeking structured, introductory-to-intermediate content (search 33%, content 76%; overall 59% match).

AI summary

#5

Tech With Tim view on YouTube

58% relevance

Subscribers 2.0M

Videos 1.8K

Views 209.2M

Appearances 16

SERP 29%

Similarity 76%

code frameworks AI build AI agent AI agent tutorials

Both present tutorials on code frameworks and AI agents, including practical build guides, though Tech With Tim often leans toward beginner-friendly coding projects and demos (search 29%, content 76%; overall 58% match).

AI summary

#6

Simplilearn view on YouTube

55% relevance

Subscribers 6.1M

Videos 10K

Views 509.1M

Appearances 18

SERP 31%

Similarity 72%

learn artificial intelligence generative AI comparison data science tutorials

Both produce AI and data science learning content with emphasis on tutorials and comparisons (generative AI, data science topics), appealing to learners seeking structured courses and overviews (search 31%, content 72%; overall 55% match).

AI summary

Content Landscape

Top competitors include IBM Technology (92% match) and Jeff Su (63% match). IBM Technology overlaps on learn artificial intelligence, no code AI, and code frameworks AI, while Jeff Su overlaps on the AI roadmap 2026, learn artificial intelligence, and building AI agents. Both have larger subscriber counts (IBM Technology and Jeff Su at 1.6M subscribers each) compared to Codebasics (1.5M). Other relevant competitors are KodeKloud (62% match), freeCodeCamp.org (59% match), and Tech With Tim (58% match), which share queries around code frameworks AI, RAG tutorials, and agentic AI topics. These channels collectively indicate strong competition in AI, agent frameworks, and data science education.

AI summary

Video Highlights

Didn't Make the Cut

40 additional channels that were close

Rank	Relevance	Channel	Similarity	Subscribers	SERP	Appearances
#7	55%	Futurepedia	80%	667K	17%	7
#8	54%	Dan Martell	79%	2.4M	18%	8
#9	53%	Krish Naik	83%	1.4M	9%	9
#10	53%	Aishwarya Srinivasan	84%	156K	6%	4
#11	52%	AI Master	79%	257K	11%	7
#12	52%	Analytics Vidhya	84%	150K	4%	1
#13	52%	Google Cloud Tech	78%	1.4M	11%	9
#14	51%	AI Engineer	83%	375K	4%	4
#15	51%	Tina Huang	82%	1.1M	5%	4
#16	49%	Roboverse	78%	100K	6%	3
#17	49%	Liam Ottley	78%	746K	5%	4
#18	49%	Tejas AI	79%	30.5K	3%	2
#19	48%	Maddy Zhang	76%	58.6K	7%	3
#20	48%	Nick Saraev	77%	312K	5%	4
#21	48%	Ed Hill \| AI Automation	78%	80.1K	3%	2
#22	48%	Bernard Marr	76%	2.0M	5%	2
#23	48%	The AI Advantage	76%	426K	4%	1
#24	47%	Nate Herk \| AI Automation	77%	568K	3%	2
#25	47%	Stanford Online	76%	1.1M	4%	2
#26	47%	Metics Media	70%	607K	12%	5
#27	46%	Great Learning	75%	991K	3%	3
#28	46%	2MinutesPy	73%	34.2K	5%	1
#29	46%	corbin	74%	173K	4%	1
#30	45%	edureka!	71%	4.4M	8%	9
#31	45%	CodeHead	70%	69.8K	9%	2
#32	45%	Blazing Zebra	72%	74.7K	4%	2
#33	45%	theMITmonk	72%	752K	4%	3
#34	44%	Fireship	71%	4.1M	5%	4
#35	44%	CareerFoundry	71%	306K	4%	1
#36	44%	Sajjaad Khader	70%	272K	5%	1
#37	44%	Apna College	67%	7.5M	10%	8
#38	43%	TechWorld with Nana	69%	1.4M	5%	2
#39	43%	Decisive Data	69%	10.1K	4%	1
#40	42%	Adam Finer - Learn BI Online	65%	138K	9%	4
#41	42%	Code with Josh	67%	51.2K	4%	1
#42	42%	Mo Chen	67%	203K	3%	1
#43	41%	Project Management Institute (PMI)	65%	67.8K	4%	1
#44	40%	WebKnower	65%	103K	4%	1
#45	39%	Neso Academy	63%	3.1M	3%	1
#46	36%	CodeLucky	57%	7.4K	5%	2

Search Queries Used

AI roadmap 2026 learn artificial intelligence no code AI code frameworks AI build AI agent AI agent tutorials RAG tutorial agentic AI explained generative AI comparison AI agents basics LangGraph tutorials MCP server tutorial A2A protocol explained agent to agent AI AI project tutorial AI strategy 2026 artificial intelligence basics no code machine learning machine learning pipelines data science tutorials AI project management RAG integrations agent based learning generative AI workflow AI model evaluation LLM deployment guide data analytics tools AI ethics basics predictive analytics methods data visualization analytics MLOps fundamentals AI automation techniques AI assistant development quantum AI overview business intelligence with AI

Frequently Asked Questions

Which YouTube channels are most similar to codebasics?

IBM Technology — 92% match, 1.6M subscribers; Jeff Su — 63% match, 1.6M subscribers; KodeKloud — 62% match, 322K subscribers. All three have channels focused on tech, programming, and developer education, similar to codebasics' emphasis on tutorials and practical coding topics.

What type of content does codebasics make?

Codebasics creates programming and data science tutorials, as shown by titles like 'AI Engineer Roadmap | How I'd Learn AI in 2026', 'AI Agents: No Code vs Code Frameworks', and 'Build Your First AI Agent in 20 Minutes (No Coding Required)'. The channel uploads frequently, with an average view count around 200.5K per video, and recent videos range from about 32K to 287.1K views.

How do we determine which channels are similar to codebasics?

We analyze codebasics's recent videos, generate topic-relevant search queries, check YouTube search results, and compare the meaning of each channel's content to measure similarity. The result is a ranked list sorted by SERP overlap, semantic similarity, and search appearances.

Analyze Another Channel

Discover similar channels for any YouTube creator

Channels Like codebasics

Similar Channels

Is this your YouTube channel?

Content Landscape

Video Highlights

Didn't Make the Cut

Search Queries Used

Frequently Asked Questions

Analyze Another Channel