LiteLLM has the stronger current footing across package adoption, installed base, and active contributors. Together AI's clearest relative edge is code adoption and funding. LiteLLM operates in Developer Tools; Together AI in AI Infrastructure. Updated daily with live metrics.
At a glance
Sources: npm, PyPI, GitHub, Crunchbase, Hacker News, Reddit, and job boards. Methodology →
Comparable data synced April 6, 2026Comparison table
Core adoption signals first, supporting context second. Gaps stay visible instead of being rounded away.
← Scroll to compare columns →
| Metric | Gap | Updated Apr 6 | Updated Apr 6 |
|---|---|---|---|
Adoption & EcosystemThese signals carry the most weight for a production default. | |||
| Momentum score | LiteLLM +10 pts | 54 Moderate | 44 Moderate |
| Total package downloads (30d)Source: npm + PyPI registriesUpdates: DailyNote: Sum of npm and PyPI; excludes other package managersMethodology → | LiteLLM 17x | 5.6M | 326.4K (2 packages) |
| npm registry downloads (30d)Source: npm registryUpdates: DailyNote: Includes all package installations including CI/CD pipelines and mirrorsMethodology → | Together AI 24x | 259 | 6.2K (2 packages) |
| PyPI registry downloads (30d)Source: PyPI (pypistats.org)Updates: DailyNote: Includes all package installations including CI/CD pipelines and mirrorsMethodology → | LiteLLM 17x | 5.6M | 320.2K (2 packages) |
| Package dependentsSource: npm + PyPI registriesUpdates: DailyNote: Counts dependent packages across tracked npm and PyPI packages.Methodology → | LiteLLM 8.7x | 2.4K npm 1 · PyPI 2.4K | 279 npm 64 · PyPI 215 |
| Active contributors/daySource: GH ArchiveUpdates: DailyNote: Tracks designated public repos per company, not all company GitHub activityMethodology → | LiteLLM 3.0x | 3 | 1 |
| Code adoption (repos)Source: ecosyste.ms Packages APIUpdates: DailyNote: Approximate count; excludes forksMethodology →Exclusive | Together AI 20x | 1 | 20 |
Community & AttentionHelpful context, but weaker than the adoption rows above. | |||
| GitHub starsSource: GitHub GraphQL + GH ArchiveUpdates: DailyNote: Stars are bookmarks - a popularity signal, not a usage indicatorMethodology → | LiteLLM 516x | 42.3K | 82 |
| Hacker News mentions (30d)Source: Hacker News (Algolia API)Updates: DailyMethodology → | LiteLLM +3 | 3 | 0 |
| HN discussion shareSource: Hacker News (Algolia API)Updates: DailyNote: Share of Hacker News mentions within the company's primary category.Methodology → | LiteLLM +18 pts | 18.1% | 0.4% |
| Reddit mentions (30d)Source: Reddit (search API)Updates: DailyNote: Counts posts and comments mentioning the company by name.Methodology →Exclusive | Together AI 4.0x | 1 | 4 |
Company DurabilityCapital and financing history provide context, not the whole call. | |||
| Total disclosed fundingSource: Public records / manual researchUpdates: WeeklyMethodology → | Together AI 1067x | $500K | $534M |
| Last funding round | Different | Seed Jan 2024 | Series B Feb 2025 |
Data TrustCoverage and freshness stay visible instead of being hidden by the narrative. | |||
| Data confidenceSource: AI-BuzzUpdates: DailyNote: Composite score based on field completeness, metric freshness, and identifier coverage.Methodology → | LiteLLM +1 pts | Excellent (96%) | Excellent (95%) |
| Signals trackedSource: AI-BuzzUpdates: DailyNote: Number of tracked non-null signals in the core compare dataset.Methodology → | LiteLLM +1 | 7/7 adoption, attention, and trust signals | 6/7 adoption, attention, and trust signals |
| Latest sync | Same | Apr 6, 2026 | Apr 6, 2026 |
Verdict
LiteLLM has higher absolute numbers on production adoption and installed base. Because they operate in different categories, the numbers measure different types of developer engagement rather than a direct head-to-head.
Production adoption
LiteLLM leads at 17x on package downloads. LiteLLM is at 5.6M/mo.
Installed base
LiteLLM leads at 8.7x in dependent packages.
Code adoption
Together AI leads at 20x in repos importing tracked packages.
Maintenance capacity
LiteLLM has the more active contributor base at 3 contributors/day.
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npm+PyPI downloads/mo: LiteLLM 5.6M vs Together AI 326.4K. GitHub stars: LiteLLM 42.3K vs Together AI 82. npm dependents: Together AI 64 vs LiteLLM 1. Data as of April 6, 2026. Source: AI-Buzz Developer Adoption Index, ai-buzz.com/compare/litellm-vs-together-ai. Accessed April 6, 2026.
