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Lobe
Machine Learning · 636.1M monthly visits

Lobe is a free, user-friendly desktop application for Mac and Windows that allows you to build, train, and deploy custom machine learning models without writing any code. It simplifies the process of creating AI, focusing primarily on image classification.

VS
phospho
Machine Learning · 18.7K monthly visits

phospho is an AI robotics company providing an integrated ecosystem of open-source hardware and software. It offers starter kits like robotic arms and walking robots, powered by the phosphobot platform, to make advanced physical AI accessible for developers, researchers, and hobbyists.

Lobe vs phospho: pricing, features, traffic, and use cases

Compare Lobe and phospho across positioning, pricing, traffic, and user feedback using structured factual data.

Updated Aug 19, 2026

Product overview

Lobe Product overview

Lobe is a free, user-friendly desktop application for Mac and Windows that allows you to build, train, and deploy custom machine learning models without writing any code. It simplifies the process of creating AI, focusing primarily on image classification.

Preview

phospho Product overview

phospho is an AI robotics company providing an integrated ecosystem of open-source hardware and software. It offers starter kits like robotic arms and walking robots, powered by the phosphobot platform, to make advanced physical AI accessible for developers, researchers, and hobbyists.

Preview

Detailed feature comparison

FeatureLobephospho
Primary categoryMachine LearningMachine Learning
Added2025-08-012025-08-03
PricingFreePaid
Official websitegithub.comphospho.ai
Product typeAppWebsite
Performance data
User ratingNot verifiedNot verified
Comments00
Monthly visits636.1M18.7K
Monthly growth0.8%-4.7%
Favorites123105
DetailsView detailsView details

Lobe vs phospho monthly traffic

Compare Lobe and phospho by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the Lobe vs phospho monthly traffic comparison, Lobe currently shows 636.1M visits and phospho shows 18.7K; Lobe has about 34,063.9 times the visible traffic of phospho, an absolute difference of about 636.1M visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

Lobe is registered at the github.com/lobe subpage. Because the current data does not state whether other host pages are excluded, treat this as domain-level context rather than independent traffic for one product or project.

Lobe monthly traffic:

Latest traffic

Monthly visits
636.1M
Avg. visit duration
6:23
Pages per visit
5.92
Bounce rate
36.46%
Data updated 2026-06-15

Monthly traffic trend

  • 2026/1: 542.6M Monthly visits
  • 2026/2: 534.8M Monthly visits
  • 2026/3: 634.3M Monthly visits
  • 2026/4: 631M Monthly visits
  • 2026/5: 636.1M Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States36.14%229.9M
🇨🇳China22.96%146M
🇮🇳India17.41%110.7M
🇷🇺Russia15.84%100.8M
🇩🇪Germany7.65%48.7M

Traffic sources

Source typePercentageTraffic
Direct82.14%522.5M
Referral16.14%102.7M
Email1.72%10.9M

Search keywords

githubgithub copilothermes agentzapretзапрет

phospho monthly traffic:

Latest traffic

Monthly visits
18.7K
Avg. visit duration
0:30
Pages per visit
2
Bounce rate
42.73%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 37.3K Monthly visits
  • 2026/1: 31.7K Monthly visits
  • 2026/2: 30.4K Monthly visits
  • 2026/3: 25.4K Monthly visits
  • 2026/4: 19.6K Monthly visits
  • 2026/5: 18.7K Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States37.88%7.1K
🇮🇳India21.24%4K
🇫🇷France16.33%3K
🇨🇦Canada12.97%2.4K
🇻🇳Vietnam11.58%2.2K

Traffic sources

Source typePercentageTraffic
Direct69.55%13K
Referral30.45%5.7K

Search keywords

lerobot controlphosphophosphobotphospo/aiso-101 interface
Traffic-based selection guidance: Lobe is registered under a github.com subpath, so its large visible total may include the host platform. The current data does not justify choosing Lobe for traffic alone; shortlist by unique taxonomy and use case, then validate with the same tasks.

Usage comparison

Compare the core capabilities of Lobe and phospho

Lobe Core features

Stem
Machine Learning
No Code

phospho Core features

Stem
Machine Learning
Robotics
Iot

Use cases

Lobe Use cases

machine learning
computer vision
desktop app
developer tools
free
image classification
microsoft
model training
no-code
prototyping

phospho Use cases

machine learning
AI robotics
dataset collection
developer platform
embodied AI
hardware
open source
physical AI
robot control
robotics
teleoperation

Lobe vs phospho:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth Lobe vs phospho comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Lobe is primarily listed under “Machine Learning”, while phospho is primarily listed under “Machine Learning”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Primary category (Lobe: Machine Learning; phospho: Machine Learning); Product type (Lobe: App; phospho: Website); Pricing (Lobe: Free; phospho: Paid); Monthly visits (Lobe: 636.1M; phospho: 18.7K); Monthly growth (Lobe: 0.8%; phospho: -4.7%). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the Lobe vs phospho monthly traffic comparison, Lobe currently shows 636.1M visits and phospho shows 18.7K; Lobe has about 34,063.9 times the visible traffic of phospho, an absolute difference of about 636.1M visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

Lobe is registered at the github.com/lobe subpage. Because the current data does not state whether other host pages are excluded, treat this as domain-level context rather than independent traffic for one product or project.

Lobe is registered under a github.com subpath, so its large visible total may include the host platform. The current data does not justify choosing Lobe for traffic alone; shortlist by unique taxonomy and use case, then validate with the same tasks.

Product positioning, use cases, and roles

Lobe and phospho currently overlap in shared categories: Stem; shared tags: machine learning. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

Lobe's unique categories/tags are Machine Learning, No Code, computer vision, desktop app, developer tools, free, image classification, and microsoft; phospho's are Machine Learning, Robotics, Iot, AI robotics, dataset collection, developer platform, embodied AI, and hardware. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.

What ratings, comments, and favorites can tell you

Lobe has no verified rating, 0 comments, 123 favorites, and 120 likes;phospho has no verified rating, 0 comments, 105 favorites, and 121 likes。

Neither product has enough rating or comment samples for a credible reputation ranking.

Selection guidance by actual need

When to evaluate Lobe first

Put Lobe on the priority trial list when the task aligns with “Machine Learning” and especially Machine Learning, No Code, computer vision, desktop app, developer tools, and free. This follows recorded positioning and does not imply unlisted capabilities are absent.

Lobe also currently records: pricing is free, product type is app, 636.1M monthly visits shown for the registered host (subpage scope unknown), no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

When to evaluate phospho first

Put phospho on the priority trial list when the task aligns with “Machine Learning” and especially Machine Learning, Robotics, Iot, AI robotics, dataset collection, and developer platform. This follows recorded positioning and does not imply unlisted capabilities are absent.

phospho also currently records: pricing is paid, product type is website, 18.7K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

How to validate the recommendation before deciding

The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Lobe and phospho, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.

Comparison FAQ

How should I choose between Lobe and phospho?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.

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