ToolMage
Anmelden
Lightly
Datenmanagement · 52.7K monatliche besuche

Lightly ist eine umfassende Computer-Vision-Suite für Machine-Learning-Teams. Sie optimiert den gesamten Modellentwicklungszyklus, von der intelligenten Datenkuration und -auswahl auf Edge-Geräten bis hin zum effizienten, label-freien Vortraining und Finetuning von Modellen. Durch die Konzentration auf die wertvollsten Daten hilft Lightly, genauere und produktionsreife KI-Modelle schneller zu erstellen und gleichzeitig die Kosten für Datenkennzeichnung und -speicherung erheblich zu senken.

Website besuchenDetails ansehen
VS
Ultralytics
Maschinelles Lernen · 1.1M monatliche besuche

Ultralytics ist ein führendes Unternehmen für Vision AI und Schöpfer der weltberühmten YOLO (You Only Look Once)-Modelle. Sie bieten ein umfassendes Ökosystem, einschließlich des Open-Source-Frameworks YOLOv8 und des Ultralytics HUB, einer No-Code-Plattform zum Trainieren und Bereitstellen von KI-Modellen.

Website besuchenDetails ansehen

Lightly vs Ultralytics: Preise, Funktionen und Traffic

Vergleiche Lightly und Ultralytics nach Positionierung, Preis, Funktionen, Traffic und Nutzerfeedback.

Aktualisiert 05.08.2026

Produktübersicht

Lightly Produktübersicht

Lightly ist eine umfassende Computer-Vision-Suite für Machine-Learning-Teams. Sie optimiert den gesamten Modellentwicklungszyklus, von der intelligenten Datenkuration und -auswahl auf Edge-Geräten bis hin zum effizienten, label-freien Vortraining und Finetuning von Modellen. Durch die Konzentration auf die wertvollsten Daten hilft Lightly, genauere und produktionsreife KI-Modelle schneller zu erstellen und gleichzeitig die Kosten für Datenkennzeichnung und -speicherung erheblich zu senken.

Preview

Ultralytics Produktübersicht

Ultralytics ist ein führendes Unternehmen für Vision AI und Schöpfer der weltberühmten YOLO (You Only Look Once)-Modelle. Sie bieten ein umfassendes Ökosystem, einschließlich des Open-Source-Frameworks YOLOv8 und des Ultralytics HUB, einer No-Code-Plattform zum Trainieren und Bereitstellen von KI-Modellen.

Preview

Detailed feature comparison

FeatureLightlyUltralytics
HauptkategorieDatenmanagementMaschinelles Lernen
Hinzugefügt2025-08-122025-08-05
PreismodellFreemiumFreemium
Offizielle Websitewww.lightly.aiwww.ultralytics.com
ProdukttypWebsiteWebsite
Performance data
NutzerbewertungNicht verifiziertNicht verifiziert
Kommentare00
Monatliche Besuche52.7K1.1M
Monatliches Wachstum-16.7%-3.9%
Favoriten113100
DetailsDetails ansehenDetails ansehen

Lightly vs Ultralytics monthly traffic

Compare Lightly and Ultralytics by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the Lightly vs Ultralytics monthly traffic comparison, Lightly currently shows 52.7K visits and Ultralytics shows 1.1M; Ultralytics has about 19.9 times the visible traffic of Lightly, an absolute difference of about 997.3K 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.

Lightly monthly traffic:

Latest traffic

Monatliche Besuche
52.7K
Ø Besuchsdauer
0:36
Seiten pro Besuch
1.82
Absprungrate
40.91%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 53.4K Monatliche Besuche
  • 2026/1: 64.9K Monatliche Besuche
  • 2026/2: 52.1K Monatliche Besuche
  • 2026/3: 60.5K Monatliche Besuche
  • 2026/4: 63.3K Monatliche Besuche
  • 2026/5: 52.7K Monatliche Besuche

Top-Regionen

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States48.2%25.4K
🇨🇭Switzerland16.4%8.6K
🇩🇪Germany14.61%7.7K
🇻🇳Vietnam11.08%5.8K
🇮🇳India9.71%5.1K

Traffic-Quellen

Source typePercentageTraffic
Verweis55.44%29.2K
Direkt40.75%21.5K
E-Mail3.81%2K

Suchbegriffe

dinov2dinov3efficient ai for vlms courselightlywhat is it called when you use a pretrained model adn train with it

Ultralytics monthly traffic:

Latest traffic

Monatliche Besuche
1.1M
Ø Besuchsdauer
2:53
Seiten pro Besuch
5.46
Absprungrate
42.12%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 1.1M Monatliche Besuche
  • 2026/1: 1.2M Monatliche Besuche
  • 2026/2: 1M Monatliche Besuche
  • 2026/3: 1.1M Monatliche Besuche
  • 2026/4: 1.1M Monatliche Besuche
  • 2026/5: 1.1M Monatliche Besuche

Top-Regionen

Top 5 countries/regions
Country/regionPercentageTraffic
🇨🇳China45.58%478.6K
🇺🇸United States19.56%205.4K
🇮🇳India16.6%174.3K
🇻🇳Vietnam9.45%99.2K
🇯🇵Japan8.81%92.5K

Traffic-Quellen

Source typePercentageTraffic
Direkt69.12%725.8K
Verweis29.03%304.8K
E-Mail1.85%19.4K

Suchbegriffe

ultralyticsultralytics yoloyoloyolo26yolov8
Traffic-based selection guidance: If public market visibility is an important first-pass criterion, investigate Ultralytics first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Usage comparison

Compare the core capabilities of Lightly and Ultralytics

Lightly Core features

Maschinelles Lernen
Datenmanagement
Automatisierung

Ultralytics Core features

Maschinelles Lernen
No-Code-Plattform

Use cases

Lightly Use cases

Computer Vision
maschinelles Lernen
MLOps
Aktives Lernen
Datenkuratierung
Datenlabeling
Dataset-Management
Edge-KI
Grundlagenmodelle
Selbstüberwachtes Lernen

Ultralytics Use cases

Computer Vision
maschinelles Lernen
MLOps
KI-Modell
Datenanalyse
Bilderkennung
Instanzsegmentierung
No-Code KI
Objekterkennung
Posenschätzung
YOLO
YOLOv8

Lightly vs Ultralytics：In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

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

The structured fields currently show these decision-relevant differences: Primary category (Lightly: Datenmanagement; Ultralytics: Maschinelles Lernen); Monthly visits (Lightly: 52.7K; Ultralytics: 1.1M); Monthly growth (Lightly: -16.7%; Ultralytics: -3.9%); Favorites (Lightly: 113; Ultralytics: 100); Website (Lightly: www.lightly.ai; Ultralytics: www.ultralytics.com). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the Lightly vs Ultralytics monthly traffic comparison, Lightly currently shows 52.7K visits and Ultralytics shows 1.1M; Ultralytics has about 19.9 times the visible traffic of Lightly, an absolute difference of about 997.3K 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.

If public market visibility is an important first-pass criterion, investigate Ultralytics first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Product positioning, use cases, and roles

Lightly and Ultralytics currently overlap in shared categories: Maschinelles Lernen; shared tags: Computer Vision, maschinelles Lernen und MLOps. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

Lightly's unique categories/tags are Datenmanagement, Automatisierung, Aktives Lernen, Datenkuratierung, Datenlabeling, Dataset-Management, Edge-KI und Grundlagenmodelle; Ultralytics's are No-Code-Plattform, KI-Modell, Datenanalyse, Bilderkennung, Instanzsegmentierung, No-Code KI, Objekterkennung und Posenschätzung. 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

Lightly has no verified rating, 0 comments, 113 favorites, and 105 likes；Ultralytics has no verified rating, 0 comments, 100 favorites, and 104 likes。

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

Selection guidance by actual need

When to evaluate Lightly first

Put Lightly on the priority trial list when the task aligns with “Datenmanagement” and especially Datenmanagement, Automatisierung, Aktives Lernen, Datenkuratierung, Datenlabeling und Dataset-Management. This follows recorded positioning and does not imply unlisted capabilities are absent.

Lightly also currently records: pricing is freemium, product type is website, 52.7K 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.

When to evaluate Ultralytics first

Put Ultralytics on the priority trial list when the task aligns with “Maschinelles Lernen” and especially No-Code-Plattform, KI-Modell, Datenanalyse, Bilderkennung, Instanzsegmentierung und No-Code KI. This follows recorded positioning and does not imply unlisted capabilities are absent.

Ultralytics also currently records: pricing is freemium, product type is website, 1.1M 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 Lightly and Ultralytics, 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.

Vergleichs-FAQ

How should I choose between Lightly and Ultralytics?
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.